Scientific Data (May 2023)
FAIR in action - a flexible framework to guide FAIRification
- Danielle Welter,
- Nick Juty,
- Philippe Rocca-Serra,
- Fuqi Xu,
- David Henderson,
- Wei Gu,
- Jolanda Strubel,
- Robert T. Giessmann,
- Ibrahim Emam,
- Yojana Gadiya,
- Tooba Abbassi-Daloii,
- Ebtisam Alharbi,
- Alasdair J. G. Gray,
- Melanie Courtot,
- Philip Gribbon,
- Vassilios Ioannidis,
- Dorothy S. Reilly,
- Nick Lynch,
- Jan-Willem Boiten,
- Venkata Satagopam,
- Carole Goble,
- Susanna-Assunta Sansone,
- Tony Burdett
Affiliations
- Danielle Welter
- Luxembourg Centre for Systems Biomedicine, ELIXIR Luxembourg, University of Luxembourg
- Nick Juty
- University of Manchester, Department of Computer Science, The University of Manchester
- Philippe Rocca-Serra
- Oxford e-Research Centre, Department of Engineering Science, University of Oxford
- Fuqi Xu
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI)
- David Henderson
- Bayer AG, Business Development & Licensing & OI
- Wei Gu
- Luxembourg Centre for Systems Biomedicine, ELIXIR Luxembourg, University of Luxembourg
- Jolanda Strubel
- The Hyve BV
- Robert T. Giessmann
- Bayer AG, Business Development & Licensing & OI
- Ibrahim Emam
- Data Science Institute, Imperial College
- Yojana Gadiya
- Fraunhofer Institute for Translational Medicine and Pharmacology (ITMP) and Fraunhofer Cluster of Excellence for Immune Mediated Diseases (CIMD), Schnackenburgallee 114
- Tooba Abbassi-Daloii
- Department of Bioinformatics (BiGCaT), NUTRIM, FHML, Maastricht University
- Ebtisam Alharbi
- College of Computer and Information Systems, Umm Al-Qura University
- Alasdair J. G. Gray
- Department of Computer Science, Heriot-Watt University
- Melanie Courtot
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI)
- Philip Gribbon
- Fraunhofer Institute for Translational Medicine and Pharmacology (ITMP) and Fraunhofer Cluster of Excellence for Immune Mediated Diseases (CIMD), Schnackenburgallee 114
- Vassilios Ioannidis
- Vital-IT Group, SIB Swiss Institute of Bioinformatics
- Dorothy S. Reilly
- Novartis Institutes for BioMedical Research, Novartis Pharma AG
- Nick Lynch
- OpenPhacts Foundation
- Jan-Willem Boiten
- Foundation Lygature
- Venkata Satagopam
- Luxembourg Centre for Systems Biomedicine, ELIXIR Luxembourg, University of Luxembourg
- Carole Goble
- University of Manchester, Department of Computer Science, The University of Manchester
- Susanna-Assunta Sansone
- Oxford e-Research Centre, Department of Engineering Science, University of Oxford
- Tony Burdett
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI)
- DOI
- https://doi.org/10.1038/s41597-023-02167-2
- Journal volume & issue
-
Vol. 10,
no. 1
pp. 1 – 9
Abstract
Abstract The COVID-19 pandemic has highlighted the need for FAIR (Findable, Accessible, Interoperable, and Reusable) data more than any other scientific challenge to date. We developed a flexible, multi-level, domain-agnostic FAIRification framework, providing practical guidance to improve the FAIRness for both existing and future clinical and molecular datasets. We validated the framework in collaboration with several major public-private partnership projects, demonstrating and delivering improvements across all aspects of FAIR and across a variety of datasets and their contexts. We therefore managed to establish the reproducibility and far-reaching applicability of our approach to FAIRification tasks.
