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rfair  

Assess the FAIRness of Research Data Objects and Software
View on CRAN: Click here


Download and install rfair package within the R console
Install from CRAN:
install.packages("rfair")

Install from Github:
library("remotes")
install_github("cran/rfair")

Install by package version:
library("remotes")
install_version("rfair", "0.2.0")



Attach the package and use:
library("rfair")
Maintained by
Ahmad Sofi-Mahmudi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-07-01
Latest Update: 2026-07-01
Description:
A native R implementation of the F-UJI (FAIRsFAIR Research Data Object Assessment) and FRSM (FAIR for Research Software) metrics for evaluating how well a research data object or piece of research software satisfies the FAIR principles (Findable, Accessible, Interoperable, Reusable). The software metrics operationalize the FAIR Principles for Research Software (FAIR4RS) of Chue Hong et al. (2022) <doi:10.15497/RDA00068>. Given a persistent identifier, URL, or code repository, 'rfair' resolves it, harvests metadata from landing pages and registries, and scores it against the FAIRsFAIR metrics of Devaraju and Huber (2020) <doi:10.5281/zenodo.3775793> entirely in R, without requiring an external assessment server. 'rfair' began as a fork of the 'rfuji' F-UJI API client and reimplements the assessment engine natively.
How to cite:
Ahmad Sofi-Mahmudi (2026). rfair: Assess the FAIRness of Research Data Objects and Software. R package version 0.2.0, https://cran.r-project.org/web/packages/rfair. Accessed 27 Oct. 2026.
Previous versions and publish date:
(2026-09-23 17:10), 0.1.0 (2026-07-01 11:10)
Other packages that cited rfair R package
View rfair citation profile
Other R packages that rfair depends, imports, suggests or enhances
Complete documentation for rfair
Functions, R codes and Examples using the rfair R package
Full rfair package functions and examples
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