Explainer · Plain-language
Fair4Rs: Definition, Meaning & Examples | CASRAI
FAIR4RS — the FAIR Principles for Research Software — adapt the original FAIR data principles (Findable, Accessible, Interoperable, Reusable) to the specific nature of software. They were produced by a joint RDA / FORCE11 / ReSA working group and published in 2022.
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Why software needs its own FAIR
Data is generally static; software is executable and evolves. Software depends on other software (libraries, runtimes, operating systems), exists in many versions, and combines source code, documentation, and build instructions. Applying the data-oriented FAIR principles directly leaves gaps, so FAIR4RS re-interprets each principle for software’s particular characteristics.
What the principles cover
Findable: software and its metadata are easy to find for both humans and machines, with a persistent identifier. Accessible: software and its metadata are retrievable via standardised protocols. Interoperable: software interoperates with other software by exchanging data and/or metadata through community standards. Reusable: software is usable and reusable, with clear licensing, provenance, and adherence to community standards — with particular emphasis on Reusable given software’s purpose.
Who developed FAIR4RS
The principles were created by the FAIR for Research Software (FAIR4RS) Working Group, a joint effort of the Research Data Alliance, FORCE11, and the Research Software Alliance (ReSA). The outcome was published in 2022 (Chue Hong et al., Scientific Data) as a community-endorsed adaptation.
FAIR4RS and software citation
FAIR4RS is closely tied to software-citation practice: minting a DOI for a software release (e.g. via the Zenodo–GitHub integration), describing it with a CITATION.cff file or CodeMeta metadata, and archiving source for long-term access (e.g. Software Heritage). Citing software like any other research output supports both findability and credit.
Key facts
At a glance
- Full name: FAIR Principles for Research Software
- Published: 2022 (Chue Hong et al., Scientific Data)
- Authors: Joint RDA / FORCE11 / ReSA working group
- Basis: Adapts FAIR (data) for executable, versioned software
- Emphasis: Reusability — licence, dependencies, provenance
- Linked to: Software citation; Zenodo; CITATION.cff; Software Heritage
Common misconceptions
What people often get wrong
Often heard: FAIR4RS is just FAIR data applied unchanged to code.
Actually: No — it re-interprets each principle for software’s executability, dependencies, and versioning. The intent is shared but the requirements differ.
Often heard: Making software FAIR means it must be open source.
Actually: Not exactly — FAIR concerns findability, access protocols, interoperability, and clear reuse conditions. Open licensing helps reuse, but FAIR4RS is about transparency of terms, not mandating openness.
Often heard: A GitHub repository alone makes software FAIR.
Actually: No — you also need a persistent identifier, structured metadata, a clear licence, and durable archiving, because repositories can move or disappear.
Going deeper
