Scientific Data (May 2023)
The FAIR Cookbook - the essential resource for and by FAIR doers
- Philippe Rocca-Serra,
- Wei Gu,
- Vassilios Ioannidis,
- Tooba Abbassi-Daloii,
- Salvador Capella-Gutierrez,
- Ishwar Chandramouliswaran,
- Andrea Splendiani,
- Tony Burdett,
- Robert T. Giessmann,
- David Henderson,
- Dominique Batista,
- Ibrahim Emam,
- Yojana Gadiya,
- Lucas Giovanni,
- Egon Willighagen,
- Chris Evelo,
- Alasdair J. G. Gray,
- Philip Gribbon,
- Nick Juty,
- Danielle Welter,
- Karsten Quast,
- Paul Peeters,
- Tom Plasterer,
- Colin Wood,
- Eelke van der Horst,
- Dorothy Reilly,
- Herman van Vlijmen,
- Serena Scollen,
- Allyson Lister,
- Milo Thurston,
- Ramon Granell,
- the FAIR Cookbook Contributors,
- Susanna-Assunta Sansone
Affiliations
- Philippe Rocca-Serra
- Oxford e-Research Centre, Department of Engineering Science, University of Oxford
- Wei Gu
- Luxembourg Centre for Systems Biomedicine, ELIXIR Luxembourg, University of Luxembourg
- Vassilios Ioannidis
- Vital-IT Group, SIB Swiss Institute of Bioinformatics
- Tooba Abbassi-Daloii
- Department of Bioinformatics (BiGCaT), NUTRIM, FHML, Maastricht University
- Salvador Capella-Gutierrez
- Barcelona Supercomputing Center (BSC)
- Ishwar Chandramouliswaran
- Office of Data Science Strategy, National Institutes of Health
- Andrea Splendiani
- IQVIA, Kirchgartenstrasse 14
- Tony Burdett
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI)
- Robert T. Giessmann
- Bayer AG, Business Development & Licensing & OI, Pharmaceuticals
- David Henderson
- Bayer AG, Business Development & Licensing & OI, Pharmaceuticals
- Dominique Batista
- Oxford e-Research Centre, Department of Engineering Science, University of Oxford
- Ibrahim Emam
- Data Science Institute, Imperial College London, William Penney Laboratory
- Yojana Gadiya
- Fraunhofer Institute for Translational Medicine and Pharmacology and Fraunhofer Cluster of Excellence for Immune Mediated Diseases, Schnackenburgallee 114
- Lucas Giovanni
- Department of Bioinformatics (BiGCaT), NUTRIM, FHML, Maastricht University
- Egon Willighagen
- Department of Bioinformatics (BiGCaT), NUTRIM, FHML, Maastricht University
- Chris Evelo
- Department of Bioinformatics (BiGCaT), NUTRIM, FHML, Maastricht University
- Alasdair J. G. Gray
- Department of Computer Science, Heriot-Watt University
- Philip Gribbon
- Fraunhofer Institute for Translational Medicine and Pharmacology and Fraunhofer Cluster of Excellence for Immune Mediated Diseases, Schnackenburgallee 114
- Nick Juty
- The University of Manchester, Department of Computer Science, The University of Manchester
- Danielle Welter
- Luxembourg Centre for Systems Biomedicine, ELIXIR Luxembourg, University of Luxembourg
- Karsten Quast
- Boehringer Ingelheim Pharma GmbH & Co. KG
- Paul Peeters
- Janssen
- Tom Plasterer
- AstraZeneca Pharmaceuticals
- Colin Wood
- AstraZeneca, da Vinci Building, Melbourn Science Park
- Eelke van der Horst
- The Hyve BV
- Dorothy Reilly
- Novartis Institutes for BioMedical Research, Novartis Pharma AG
- Herman van Vlijmen
- Janssen
- Serena Scollen
- ELIXIR Hub, Wellcome Genome Campus
- Allyson Lister
- Oxford e-Research Centre, Department of Engineering Science, University of Oxford
- Milo Thurston
- Oxford e-Research Centre, Department of Engineering Science, University of Oxford
- Ramon Granell
- Oxford e-Research Centre, Department of Engineering Science, University of Oxford
- the FAIR Cookbook Contributors
- Susanna-Assunta Sansone
- Oxford e-Research Centre, Department of Engineering Science, University of Oxford
- DOI
- https://doi.org/10.1038/s41597-023-02166-3
- Journal volume & issue
-
Vol. 10,
no. 1
pp. 1 – 12
Abstract
Abstract 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.
