CODE beyond FAIR: a roadmap for reusable research software
FAIR principles are a set of guidelines aiming at simplifying the distribution of scientific data to enhance reuse and reproducibility. This article focuses on research software, which significantly differs from data in its living nature, and its relationship with free and open-source software. We provide a tiered roadmap to improve the state of research software, which takes into account the full range of stakeholders in the research software ecosystem: all scientific staff - regardless of prior software engineering training - but also institutions, funders, libraries and publishers.
Authors
- Camille Maumet (ORCID: https://orcid.org/0000-0002-6290-553X)
- Nicolas Jullien (ORCID: https://orcid.org/0000-0002-9039-9021)
- Daniel Le Berre
- Clémentine Maurice
- Violaine Louvet
- Konrad Hinsen
- Sabrina Granger
- Raphaël Monat
- Nicolas P. Rougier
- Roberto Di Cosmo
Institutions
- Institut polytechnique de Grenoble (FR)
- Centre National de la Recherche Scientifique (FR)
- Institut national de recherche en sciences et technologies du numérique (FR)
- Université de Bordeaux (FR)
- Inserm (FR)
- Université Paris Cité (FR)
- Université de Lille (FR)
- Synchrotron soleil (FR)
- Centre de Biophysique Moléculaire (FR)
- IMT Atlantique (FR)
- Laboratoire Jean Kuntzmann (FR)
- Université d'Artois (FR)
- Université de Rennes (FR)
- Université Grenoble Alpes (FR)
Publication Details
- Journal
- Scientific Data
- Published
- 2026-03-12
- DOI
- https://doi.org/10.1038/s41597-026-06705-6
- Primary Topic
- Research Data Management Practices
- Type
- article
- Field-Weighted Citation Impact
- 0.00