Essential Steps of the FAIRification Process

Since 2014, a number of FAIR Stakeholders have developed tools and methods around the FAIRifcation of typical datasets. In the last 5 years, these efforts were field tested in a series of "Bring Your Own Data" Workshops" (https://www.dtls.nl/fair-data/byod/).

This document records the accumulated practical & teaching experiences from BYODS as well as more high-level FAIR awareness trainings. This document was formerly known as the "Big Book of FAIRification".

The original intention of behind this document was to preserve the thousands of hours of valuable experience gained in hands-on FAIRification, and now to reuse as much as possible in the design and deployment of the next generation of methods and associated training materials (see the GO TRAN Pillar https://osf.io/za96b/).

This document is under Creative Commons Attribution 4.0 International Public License.

Keywords: FAIR, data stewardship, metadata, linked data

Resource type: Training materials

Target audience: Researchers, Support Staff, data librarians, software developers, bioinformaticians

Difficulty level: Intermediate

Licence: Creative Commons Attribution 4.0

Authors: Erik Schultes, Annika Jacobsen, Mark Thompson, Kristina Hettne, Mateusz Kuzak, Bert Meerman, Mascha Jansen, Rob Hooft

Essential Steps of the FAIRification Process https://tess.elixir-europe.org/materials/essential-steps-of-the-fairification-process Since 2014, a number of FAIR Stakeholders have developed tools and methods around the FAIRifcation of typical datasets. In the last 5 years, these efforts were field tested in a series of "Bring Your Own Data" Workshops". This material documents the accumulated practical & teaching experiences from BYODS as well as more high-level FAIR awareness trainings. This document was formerly known as the "Big Book of FAIRification". FAIR, data stewardship, metadata, linked data Researchers Support Staff data librarians software developers, bioinformaticians