|Home_Icon|_ Learning Center Home
Foundational Open Science Skills (FOSS) is a novel, camp-style training designed to prepare principal investigators and their lab teams, both new and established, to meet the growing expectations of funding agencies, publishers, and research institutions for scientific reproducibility and data accessibility.
There are no pre-requisites for FOSS, but the course will cover a lot of material in a short time. Participants who have limited computational experience should try to view the Software Carpentry Core Lessons before attending.
- Become familiar with productivity software for organizing your lab group, communications, and research
- Learn how to scale out your computation from laptop to cloud and high performance computing (HPC) systems
- Learn how to manage data for open science and reproducibility
By working through an example project relevant to their interests, participants will practice open science skills using CyVerse, GitHub, R or Python, and other resources. At the end of the week, students will present a plan for how to integrate open science into their labs.
.. toctree:: :maxdepth: 1 Home <self>
.. toctree:: :maxdepth: 1 :caption: Before FOSS Starts before/main before/installation
.. toctree:: :maxdepth: 1 :caption: Key Information getting_started/agenda getting_started/instructors getting_started/glossary
.. toctree:: :maxdepth: 1 :caption: Getting Started getting_started/intro getting_started/code_of_conduct getting_started/open_sci_lab getting_started/colab_culture
.. toctree:: :maxdepth: 1 :caption: Essential Skills software_essentials/commandline software_essentials/linux
.. toctree:: :maxdepth: 1 :caption: Reproducible Science reproducible_science/intro reproducible_science/communication reproducible_science/GitHub reproducible_science/cicd reproducible_science/websites
.. toctree:: :maxdepth: 1 :caption: Data Management Data_management/overview Data_management/FAIR Data_management/dmp Data_management/dmtools
.. toctree:: :maxdepth: 1 :caption: Using CyVerse CyVerse/intro_to_cyverse CyVerse/data_store CyVerse/de-data-manage CyVerse/de-data-analysis CyVerse/tool_integration_app_building_DE CyVerse/vice
.. toctree:: :maxdepth: 1 :caption: Cyberinfrastructure cloud_comput/intro cloud_comput/atmo cloud_comput/xsede cloud_comput/cyberinfrastructure
.. toctree:: :maxdepth: 1 :caption: Containers Containers/introtocontainers Containers/dockeronatmo Containers/dockerintro Containers/dockeradvanced
.. toctree:: :maxdepth: 1 :caption: Using RStudio software_essentials/R_Studio software_essentials/RStudio_Git
.. toctree:: :maxdepth: 1 :caption: Instructions and Reporting
.. toctree:: :maxdepth: 1 :caption: GitHub Action and EHT github_action/eht
.. toctree:: :maxdepth: 1 :caption: Experimental documentation/githubpages
CyVerse Homepage: http://www.cyverse.org
CyVerse is funded by the National Science Foundation under Award Numbers DBI-0735191, DBI-1265383, and DBI-1743442.
Please cite CyVerse appropriately when you make use of our resources, CyVerse citation policy
Documentation contained in this repo is made available under CC BY 4.0 License: https://creativecommons.org/licenses/by/4.0/legalcode
Fix or improve this documentation
- Search for an answer: |CyVerse Learning Center|
- Ask us for help: click |Intercom| on the lower right-hand side of the page
- Report an issue or submit a change: |Github Repo Link|
- Send feedback: [email protected]