If you intend to run workshops on FAIR data, or include FAIR in training that you are already running here are some ideas and resources:
- A basic checklist (or more comprehensive breakdown) as a tool for discussing the components of FAIR
- Use the FAIR data self-assessment tool in training or consultation
- Discussing the components via a process of transforming a dataset to be more FAIR
- Case studies of domain specific consideration of the principles:
- Adapt existing domain specific resources to another domain:
- neuroimaging (Carpentries style course)
- software (Carpentries style course, with slides available)
- social sciences (as part of online data management training)
- biosciences (an interactive webinar series, with slides available).
ANDS has many resources which reflect or crosscut the FAIR principles - click on the tiles to see the resources.
Image credit
The Magnifying glass, Tap, Gears set, Recycle sig, Storage, Infinity, Discussion, Shield, and Man User icons made by Freepik from www.flaticon.com are licensed by CC 3.0 BY. All other icons made by ARDC. Entire FAIR resources graphic is licensed under a Creative Commons Attribution 4.0 International License
The following webinars may also be useful in developing resources:
The following sites aggregate resources, including educational materials, on FAIR related topics:
- Dutch Techcentre for Life Sciences explains the FAIR principles in detail, and lists FAIR tools and projects.
- FAIRsharing has some educational materials for Developers, Researchers/Curators, Funders and Editors/Librarians, especially for metadata standards and policies.
ANDS Skills has a wide range of other resources (posters, pamphlets, courses, links etc) that may also be of use.
- Have a look at these “10 Things” activities:
- Or join in the effort to create other “Top 10 Fair Things” for other disciplines.
There is a lot of work going on in this space. If you are aware of training resources that could be added here, please let us know.