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

Romain David, Arina Rybina, Jean‐marie Burel, Jean‐Karim Heriche, Pauline Audergon, Jan‐willem Boiten, Frederik Coppens, Sara Crockett, Katrina Exter, Sven Fahrner, Maddalena Fratelli, Carole Goble, Philipp Gormanns, Tobias Grantner, Björn Grüning, Kim tamara Gurwitz, John m Hancock, Henriette Harmse, Petr Holub, Nick JutyGeoffrey Karnbach, Emma Karoune, Antje Keppler, Jessica Klemeier, Carla Lancelotti, Jean‐luc Legras, Allyson L. Lister, Dario livio Longo, Rebecca Ludwig, Bénédicte Madon, Marzia Massimi, Vera Matser, Rafaele Matteoni, Michaela Th Mayrhofer, Christian Ohmann, Maria Panagiotopoulou, Helen Parkinson, Isabelle Perseil, Claudia Pfander, Roland Pieruschka, Michael Raess, Andreas Rauber, Audrey S. Richard, Paolo Romano, Antonio Rosato, Alex Sánchez‐Pla, Susanna‐Assunta Sansone, Ugis Sarkans, Beatriz Serrano‐solano, Jing Tang, Ziaurrehman Tanoli, Jonathan Tedds, Harald Wagener, Martin Weise, Rudolf Wittner, Jonathan Ewbank, Niklas Blomberg, Philip Gribbon

Research output: Contribution to journalComment/debate


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.
Original languageEnglish
Article numbere115008
JournalThe EMBO Journal
Issue number23
Early online date15 Nov 2023
Publication statusPublished - 1 Dec 2023


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