Assess the FAIRness of Research Data Objects and Software R package rfair version 0.1.0 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. Software Depends: R (>= 4.1) Imports: digest, httr2, jsonlite, mime, rvest, stats, stringdist, utils, xml2, yaml Suggests: bslib, chromote, covr, DT, httptest2, jqr, knitr, plumber, rdflib, rmarkdown, shiny, testthat (>= 3.0.0), wand Ahmad Sofi-Mahmudi <a.sofimahmudi@gmail.com> Comprehensive R Archive Network (CRAN) Ahmad Sofi-Mahmudi [aut, cre] (ORCID: <https://orcid.org/0000-0001-6829-0823>), Steffen Neumann [ctb] (Author of the original rfuji F-UJI API client that rfair grew from), PANGAEA [cph] (Copyright holder of the F-UJI service whose metrics rfair reimplements) GPL-3 2026-07-01 application/tgz https://CRAN.R-project.org/package=rfair doi:10.32614/CRAN.package.rfair en-US