- The FAIR Cookbook is a project aiming at collating protocols for making data FAIR
- The FAIR Cookbook is open source and licensed under CC-BY-4.0
- The FAIR Coobook is writting using Markdown and deployed using
- The FAIR Cookbook is an activity of the FAIRplus project funded by the Innovative Medicine Initiative (IMI) under grant agreement #802750 (2019-22).
The FAIR Cookbook is currently led by:
Learn how to FAIRify a number of exemplar datasets, putting the FAIR principles in practices; learn about levels and indicators of FAIRness; the maturity model, the technologies and tools available to assess and improve FAIRness; learn about the skills required, as well as the challenges.
To get started, you may be interested in the following links. Here are a few links of interest:
Quickstart is a quick demo and overview of Jupyter Book.
The Jupyter Book Guide will step you through the process of configuring and building your own Jupyter Book.
The FAIR Cookbook jupyter-book template repo is the template repository you'll use as a start for your Jupyter Book.
A demo of the FAIR Book can be browsed via the sidebar to the left.
Here's a brief rundown of how to create your own Jupyter Book using this site. For a more complete guide, see the Jupyter Book guide.
- Fork the FAIR Book jupyter-book template repo
- Update or Replace the files in
content/with your own notebooks and markdown files.
- Update or create the Table of Contents yaml file by editing
- Generate the Jekyll markdown for your notebooks by running
jupyter-book build docs
- Push your changes to a branch on your GitHub fork (or wherever you host your site)!
- Send a Pull Requests to the remote GitHub repository
FAIR Cookbook is produced thanks to
Jupyter Book, project originally created by Sam Lau and Chris Holdgraf
with support of the UC Berkeley Data Science Education Program and the Berkeley
Institute for Data Science.