more consistent headings

ref #1

_config.yml

@@ -18,16 +18,17 @@
 # You can create any custom variable you would like, and they will be accessible
 # in the templates via {{ site.myvariable }}.
 
-title: Your awesome title
-email: [email protected]
+title: DataSci Connect Resources for Data Science Training
+# email: [email protected]
 description: >- # this means to ignore newlines until "baseurl:"
-  Write an awesome description for your new site here. You can edit this
-  line in _config.yml. It will appear in your document head meta (for
-  Google search results) and in your feed.xml site description.
+  Library of sharable data science-focused resources including
+  learning modules,
+  program management best practices and potential pitfalls,
+  and others.
 baseurl: "" # the subpath of your site, e.g. /blog
-url: "" # the base hostname & protocol for your site, e.g. http://example.com
-twitter_username: jekyllrb
-github_username:  jekyll
+url: "https://ouhscbbmc.github.io/odss-datasci-connect-resource" # the base hostname & protocol for your site, e.g. http://example.com
+# twitter_username: jekyllrb
+# github_username:  jekyll
 
 # Build settings
 theme: minima

index.md

@@ -1,5 +1,5 @@
 ---
-layout: "page"
+layout: "home"
 title: "DataSci Connect"
 ---
 

suggestions.md

@@ -1,61 +1,50 @@
+---
+layout: page
+title:  "Suggested Resources"
+categories: skills datasets
+---
+
 Training & Learning Skills
-========
+-------------
 
-Basic
-------------
+### Basic
 
 * Julia
 * Python
 * R
 * SQL
 * GitHub
 
-Genomics
-------
+### Genomics
 
 * R Bioconductor
+* [Add more tools, and their links]
 
-AI
-------
+### AI
 
-* qqqq
+* [Add tools, and their links]
 
-EHR
-------
+### EHR
 
 * OHDSI/OMOP
 * Epic (likely restricted via institution)
 * Cerner (restricted via institution?)
 
-Training & Learning Platforms
-========
+### Training & Learning Platforms
 
 * [Coursera](https://www.coursera.org)
 * [Data Carpentry](https://datacarpentry.org)
 * [AI Institute](https://research.cec.sc.edu/aii) at South Carolina
 
-
 This is an example on GitHub of a shared R code and Jupyter notebook that student can download and run locally to learn how to preprocess and analyze microarray data, perform differential expression analysis, and generate visualization plots (https://github.com/ARINBRE/microarray)
 
 Data Sources (Publicly Available)
-=========
+-------------
 
+Internal Temporary Notes
+-------------
 
 Attributes to describe
 
 * one-time cohort vs any-time/on-demand access
 * free vs paid
-
-yrahmatallah - [email protected]
-cassandra-hui
-julipetal - [email protected]
-Anna Bennett GitHub - amb599 -
-CRPNAU - [email protected]
-amandabbraley - [email protected]
-
-Juli Petereit
-Cassandra Hui
-Yasir Rahamataliah -
-Anna Bennett
-Amanda Braley
-Will Beasley