How does the GTN ensure our training materials are FAIR?

This infrastructure has been developed in accordance with the FAIR (Findable, Accessible, Interoperable, Reusable) principles for training materials Garcia et al. 2020. Following these principles enables trainers and trainees to find, reuse, adapt, and improve the available tutorials.

The GTN receives a 100% score on the FAIR Checker, as noted in our recent news post

10 Simple Rules	Implementation in GTN framework
Plan to share your training materials online	Online training material portfolio, managed via a public GitHub repository
Improve findability of your training materials by properly describing them	Rich metadata associated with each tutorial that are visible and accessible via schema.org on each tutorial webpage.
Give your training materials a unique identity	URL persistency with redirection in case of renaming of tutorials. Data used for tutorials stored on Zenodo and associated with a Digital Object Identifiers (DOI)
Register your training materials online	Tutorials automatically registered on TeSS, the ELIXIR’s Training e-Support System
If appropriate, define access rules for your training materials	Online and free to use without registration
Use an interoperable format for your training materials	Content of the tutorials and slides written in Markdown. Metadata associated with tutorials stored in YAML, and workflows in JSON. All of this metadata is available from the GTN’s API
Make your training materials (re-)usable for trainers	Online. Rich metadata associated with each tutorial: title, contributor details, license, description, learning outcomes, audience, requirements, tags/keywords, duration, date of last revision. Strong technical support for each tutorial: workflow, data on Zenodo and also available as data libraries on UseGalaxy.*, tools installable via the Galaxy Tool Shed, list of possible Galaxy instances with the needed tools.
Make your training materials (re-)usable for trainees	Online and easy to follow hands-on tutorials. Rich metadata with “Specific, Measurable, Attainable, Realistic and Time bound” (SMART) learning outcomes following Bloom’s taxonomy. Requirements and follow-up tutorials to build learning path. List of Galaxy instances offering needed tools, data on Zenodo and also available as data libraries on UseGalaxy.*. Support chat embedded in tutorial pages.
Make your training materials contribution friendly and citable	Open and collaborative infrastructure with contribution guidelines, a CONTRIBUTING file and a chat. Details to cite tutorials and give credit to contributors available at the end of each tutorial.
Keep your training materials up-to-date	Open, collaborative and transparent peer-review and curation process. Short time between updates.

Persistent URL

Resource purlPURL: https://gxy.io/GTN:F00148

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