FAIR-USE4OS: Guidelines for creating impactful open-source software.


Journal

PLoS computational biology
ISSN: 1553-7358
Titre abrégé: PLoS Comput Biol
Pays: United States
ID NLM: 101238922

Informations de publication

Date de publication:
May 2024
Historique:
medline: 10 5 2024
pubmed: 10 5 2024
entrez: 9 5 2024
Statut: epublish

Résumé

This paper extends the FAIR (Findable, Accessible, Interoperable, Reusable) guidelines to provide criteria for assessing if software conforms to best practices in open source. By adding "USE" (User-Centered, Sustainable, Equitable), software development can adhere to open source best practice by incorporating user-input early on, ensuring front-end designs are accessible to all possible stakeholders, and planning long-term sustainability alongside software design. The FAIR-USE4OS guidelines will allow funders and researchers to more effectively evaluate and plan open-source software projects. There is good evidence of funders increasingly mandating that all funded research software is open source; however, even under the FAIR guidelines, this could simply mean software released on public repositories with a Zenodo DOI. By creating FAIR-USE software, best practice can be demonstrated from the very beginning of the design process and the software has the greatest chance of success by being impactful.

Identifiants

pubmed: 38722873
doi: 10.1371/journal.pcbi.1012045
pii: PCOMPBIOL-D-24-00114
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e1012045

Informations de copyright

Copyright: © 2024 Sonabend et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Auteurs

Raphael Sonabend (R)

OSPO Now, London, United Kingdom.
Imperial College London, London, United Kingdom.

Hugo Gruson (H)

Washington DC, United States of America.

Leo Wolansky (L)

Scale AI, San Francisco, California, United States of America.

Agnes Kiragga (A)

OSPO Now, London, United Kingdom.
APHRC, Nairobi, Kenya.

Daniel S Katz (DS)

University of Illinois Urbana-Champaign, Urbana, Illinois, United States of America.

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Classifications MeSH