“Be sustainable”: EOSC‐Life recommendations for implementation of FAIR principles in life science data handling

Romain David(European Research Council), Arina Rybina(European Molecular Biology Laboratory), Jean‐Marie Burel(University of Dundee), Jean-Karim Hèriché(European Molecular Biology Laboratory), Pauline Audergon(Instruct-ERIC), Jan‐Willem Boiten, Frederik Coppens(VIB-UGent Center for Plant Systems Biology), Sara Crockett(Biobanking and Biomolecular Resources Research Infrastructure Consortium), Katrina Exter(Flanders Marine Institute), Sven Fahrner(Forschungszentrum Jülich), Maddalena Fratelli(Mario Negri Institute for Pharmacological Research), Carole Goble(University of Manchester), Philipp Gormanns(Infrafrontier), Tobias Grantner(TU Wien), Björn Grüning(University of Freiburg), Kim Gurwitz(European Molecular Biology Laboratory), John M. Hancock(University of the West of England), Henriette Harmse(European Bioinformatics Institute), Petr Holub(Biobanking and Biomolecular Resources Research Infrastructure Consortium), Nick Juty(European Bioinformatics Institute), Geoffrey Karnbach(TU Wien), Emma Karoune(Historic England), Antje Keppler(European Molecular Biology Laboratory), Jessica Klemeier(European Molecular Biology Laboratory), Carla Lancelotti(Universitat Pompeu Fabra), Jean‐Luc Legras(Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement), Allyson Lister(University of Oxford), Dario Livio Longo, Rebecca Ludwig, Bénédicte Madon(Universidad de Sevilla), Marzia Massimi(National Research Council), Vera Matser(Turing Institute), Rafaele Matteoni(National Research Council), Michaela Th. Mayrhofer(Biobanking and Biomolecular Resources Research Infrastructure Consortium), Christian Ohmann(European Clinical Research Infrastructure Network), Maria Panagiotopoulou(European Clinical Research Infrastructure Network), Helen Parkinson(European Molecular Biology Organization), Isabelle Perseil(Inserm), Claudia Pfander, Roland Pieruschka, Michael Raess, Andreas Rauber(TU Wien), Audrey S. Richard(European Research Council), Paolo Romano(Bambino Gesù Children's Hospital), Antonio Rosato(University of Padua), Álex Sánchez‐Pla(Instituto de Salud Carlos III), Susanna‐Assunta Sansone, Uğis Sarkans(European Bioinformatics Institute), Beatriz Serrano‐Solano(Pennsylvania State University), Jing Tang(University of Copenhagen), Ziaurrehman Tanoli, Jonathan Tedds(Wellcome Trust), Harald Wagener, Martin Weise, Hans V. Westerhoff(Vrije Universiteit Amsterdam), Rudolf Wittner(Biobanking and Biomolecular Resources Research Infrastructure Consortium), Jonathan J. Ewbank(European Research Council), Niklas Blomberg(Wellcome Trust), Philip Gribbon
The EMBO Journal
November 15, 2023
10.15252/embj.2023115008
Cited by 28Open Access
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Abstract

The main goals and challenges for the life science communities in the Open Science framework are to increase reuse and sustainability of data resources, software tools, and workflows, especially in large-scale data-driven research and computational analyses. Here, we present key findings, procedures, effective measures and recommendations for generating and establishing sustainable life science resources based on the collaborative, cross-disciplinary work done within the EOSC-Life (European Open Science Cloud for Life Sciences) consortium. Bringing together 13 European life science research infrastructures, it has laid the foundation for an open, digital space to support biological and medical research. Using lessons learned from 27 selected projects, we describe the organisational, technical, financial and legal/ethical challenges that represent the main barriers to sustainability in the life sciences. We show how EOSC-Life provides a model for sustainable data management according to FAIR (findability, accessibility, interoperability, and reusability) principles, including solutions for sensitive- and industry-related resources, by means of cross-disciplinary training and best practices sharing. Finally, we illustrate how data harmonisation and collaborative work facilitate interoperability of tools, data, solutions and lead to a better understanding of concepts, semantics and functionalities in the life sciences.

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