FAIR Principles for Research Software (FAIR4RS Principles) 1.0

Neil P Chue Hong; Daniel S. Katz; Michelle Barker

doi:10.15497/RDA00068

FAIR Principles for Research Software (FAIR4RS Principles) 1.0

Neil P Chue Hong, Daniel S. Katz, Michelle Barker

Research output: Contribution to specialist publication › Article

Abstract

To improve the sharing and reuse of research software, the FAIR for Research Software (FAIR4RS) Working Group has applied the FAIR Guiding Principles for scientific data management and stewardship to research software, bringing together existing and new community efforts. Many of the FAIR Guiding Principles can be directly applied to research software by treating software and data as similar digital research objects. However, specific characteristics of software — such as its executability, composite nature, and continuous evolution and versioning — make it necessary to revise and extend the principles.

This document presents the first version of the FAIR Principles for Research Software (FAIR4RS Principles), and includes explanatory text to aid adoption. It is an outcome of the FAIR for Research Software Working Group (FAIR4RS WG) based on community consultations that started in 2019.

Original language	English
Number of pages	30
Specialist publication	Research Data Alliance Recommendations and Outputs
Publisher	Zenodo
DOIs	https://doi.org/10.15497/RDA00068
Publication status	Published - 24 May 2022

Access to Document

10.15497/RDA00068Licence: Creative Commons: Attribution (CC-BY)

FAIR4RS Principles Final Recommendation ZenodoFinal published version, 449 KBLicence: Creative Commons: Attribution (CC-BY)

1 Finished

The UK Software Sustainability Institute: Phase 3
Chue Hong, N. (Principal Investigator)
EPSRC
1/12/18 → 30/11/23
Project: Research

2 Article
1 Paper
1 Comment/debate

Research software engineering is accelerating translational research
Horsfall, D. (Lead Author), Cool, J., Hettrick, S., Pisco, A. O., Chue Hong, N. P. & Haniffa, M., 1 Jun 2023, In: Nature Medicine. 29, 6, p. 1313-1316 4 p.
Research output: Contribution to journal › Comment/debate

Open Access
Introducing the FAIR Principles for research software
Barker, M., Chue Hong, N. P., Katz, D. S., Lamprecht, A.-L., Martinez Ortiz, C., Psomopoulos, F., Harrow, J., Garcia Castro, L. J., Gruenpeter, M., Martinez, P. A. & Honeyman, T., 14 Oct 2022, In: Scientific Data. 9, 1, 6 p., 622.
Research output: Contribution to journal › Article › peer-review

Open Access
File
The FAIR4RS team: Working together to make research software FAIR
Katz, D. S., Barker, M., Chue Hong, N. P., Garcia Castro, L. J. & Martinez, P. A., 8 Jun 2021. 4 p.
Research output: Contribution to conference › Paper › peer-review

Open Access
File

1 Membership of committee

RDA/ReSA/FORCE11 FAIR for Research Software WG (FAIR4RS) (External organisation)
Chue Hong, N. (Chair)
7 Sept 2020 → …
Activity: Membership types › Membership of committee

Cite this

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FAIR Principles for Research Software (FAIR4RS Principles) 1.0

Abstract

Access to Document

Fingerprint

Projects

The UK Software Sustainability Institute: Phase 3

Research output

Research software engineering is accelerating translational research

Introducing the FAIR Principles for research software

The FAIR4RS team: Working together to make research software FAIR

Activities

RDA/ReSA/FORCE11 FAIR for Research Software WG (FAIR4RS) (External organisation)

Cite this