CODE beyond FAIR: a roadmap for reusable research software
Roberto Di Cosmo, Sabrina Granger, Konrad Hinsen, Nicolas Jullien, Daniel Le Berre, Violaine Louvet, Camille Maumet, Clémentine Maurice, Raphaël Monat, Nicolas P. Rougier

TL;DR
This paper proposes a roadmap to improve the reuse and sharing of research software by extending FAIR principles to include all stakeholders in the research process.
Contribution
The paper introduces a tiered roadmap for enhancing research software reuse, tailored to the unique nature of software compared to data.
Findings
Research software differs from data and requires specific strategies for reuse.
A tiered approach involving multiple stakeholders can improve research software sustainability.
Institutions, funders, and publishers play a key role in advancing research software practices.
Abstract
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.
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsResearch Data Management Practices · Scientific Computing and Data Management · Optics and Image Analysis
