D2.4 FAIR Cookbook - Public Version
| Main Authors: | Philippe Rocca-Serra, Robert Giessmann, Andrea Splendiani, Jan-Willem Boiten, Melanie Courtot, Tony Burdett, Fuqi Xu, Susanna-Assunta Sansone |
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| Format: | Report publication-deliverable Journal |
| Bahasa: | eng |
| Terbitan: |
, 2020
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/3924476 |
Daftar Isi:
- FAIRplus seeks to establish ‘FAIRification’ processes that can be used at scale to ensure FAIRness of IMI data. The FAIR Cookbook aims to collate protocols for making data FAIR: Findable, Accessible, Interoperable, Reusable. This includes how to FAIRify a number of exemplar datasets, putting the FAIR principles in practice; basic knowledge of what makes data more or less FAIR; understand levels and indicators of FAIRness, and the corresponding maturity model; how to apply the technologies and tools available to assess and improve FAIRness; learn about user roles and their different perspectives on data, and on the challenges when making data FAIR enough for a specific purpose. Continued efforts by consortium partners, organised in “squads” have significantly improved the breadth and depth of the FAIR cookbook coverage.
- This project has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No. 802750. This Joint Undertaking receives support from the European Union's Horizon 2020 research and innovation and EFPIA companies.