TY - JOUR
T1 - The FAIR Cookbook - the essential resource for and by FAIR doers
AU - Rocca-Serra, Philippe
AU - Gu, Wei
AU - Ioannidis, Vassilios
AU - Abbassi-Daloii, Tooba
AU - Capella-Gutierrez, Salvador
AU - Chandramouliswaran, Ishwar
AU - Splendiani, Andrea
AU - Burdett, Tony
AU - Giessmann, Robert T.
AU - Henderson, David
AU - Batista, Dominique
AU - Emam, Ibrahim
AU - Gadiya, Yojana
AU - Giovanni, Lucas
AU - Willighagen, Egon
AU - Evelo, Chris
AU - Gray, Alasdair J. G.
AU - Gribbon, Philip
AU - Juty, Nick
AU - Welter, Danielle
AU - Quast, Karsten
AU - Peeters, Paul
AU - Plasterer, Tom
AU - Wood, Colin
AU - Van Der Horst, Eelke
AU - Reilly, Dorothy
AU - van Vlijmen, Herman
AU - Scollen, Serena
AU - Lister, Allyson
AU - Thurston, Milo
AU - Granell, Ramon
AU - the FAIR Cookbook Contributors
AU - Sansone, Susanna-Assunta
PY - 2023/5/19
Y1 - 2023/5/19
N2 - The notion that data should be Findable, Accessible, Interoperable and Reusable, according to the FAIR Principles, has become a global norm for good data stewardship and a prerequisite for reproducibility. Nowadays, FAIR guides data policy actions and professional practices in the public and private sectors. Despite such global endorsements, however, the FAIR Principles are aspirational, remaining elusive at best, and intimidating at worst. To address the lack of practical guidance, and help with capability gaps, we developed the FAIR Cookbook, an open, online resource of hands-on recipes for “FAIR doers” in the Life Sciences. Created by researchers and data managers professionals in academia, (bio)pharmaceutical companies and information service industries, the FAIR Cookbook covers the key steps in a FAIRification journey, the levels and indicators of FAIRness, the maturity model, the technologies, the tools and the standards available, as well as the skills required, and the challenges to achieve and improve data FAIRness. Part of the ELIXIR ecosystem, and recommended by funders, the FAIR Cookbook is open to contributions of new recipes.
AB - The notion that data should be Findable, Accessible, Interoperable and Reusable, according to the FAIR Principles, has become a global norm for good data stewardship and a prerequisite for reproducibility. Nowadays, FAIR guides data policy actions and professional practices in the public and private sectors. Despite such global endorsements, however, the FAIR Principles are aspirational, remaining elusive at best, and intimidating at worst. To address the lack of practical guidance, and help with capability gaps, we developed the FAIR Cookbook, an open, online resource of hands-on recipes for “FAIR doers” in the Life Sciences. Created by researchers and data managers professionals in academia, (bio)pharmaceutical companies and information service industries, the FAIR Cookbook covers the key steps in a FAIRification journey, the levels and indicators of FAIRness, the maturity model, the technologies, the tools and the standards available, as well as the skills required, and the challenges to achieve and improve data FAIRness. Part of the ELIXIR ecosystem, and recommended by funders, the FAIR Cookbook is open to contributions of new recipes.
UR - http://www.scopus.com/inward/record.url?scp=85159641701&partnerID=8YFLogxK
U2 - 10.1038/s41597-023-02166-3
DO - 10.1038/s41597-023-02166-3
M3 - Article
C2 - 37208467
SN - 2052-4463
VL - 10
JO - Scientific Data
JF - Scientific Data
M1 - 292
ER -