fair4rs_principles: The FAIR Principles for Research Software (FAIR4RS).

In rfair: Assess the FAIRness of Research Data Objects and Software

The FAIR Principles for Research Software (FAIR4RS).

Description

The canonical FAIR4RS (sub)principles that rfair's software metrics (the FRSM metric set, metric_version = "0.7_software") operationalize. Principle statements are reproduced from the FAIR4RS Principles version 1.0.

Usage

fair4rs_principles(category = NULL)

Arguments

category

Optional filter: one or more of "F", "A", "I", "R".

Value

A data frame with id, category, statement (the principle text), and explanation. The four foundational F/A/I/R statements and the source citation are attached as the "foundational" and "source" attributes.

References

Chue Hong, N. P., Katz, D. S., Barker, M., Lamprecht, A.-L., Martinez, C., Psomopoulos, F. E., Harrow, J., Castro, L. J., Gruenpeter, M., Martinez, P. A., Honeyman, T., et al. (2022). FAIR Principles for Research Software (FAIR4RS Principles) (1.0). Research Data Alliance. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.15497/RDA00068")}

See Also

fair_principles() for the data FAIR principles.

Examples

fair4rs_principles()
fair4rs_principles("R")

rfair documentation built on July 1, 2026, 5:07 p.m.