assess_data_code: Assess the FAIRness of the data and code shared in articles...

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

Assess the FAIRness of the data and code shared in articles (rtransparent)

Description

Bridges rtransparent and rfair: takes the data/code identifiers rtransparent extracts from articles (its open_data_links and open_code_links columns) and scores each against the FAIR metrics. Data identifiers are scored with the FsF data metrics and code repositories with the FRSM software metrics.

Usage

assess_data_code(
  x,
  id_col = NULL,
  data_metric_version = "0.8",
  code_metric_version = "0.7_software",
  data_col = "open_data_links",
  code_col = "open_code_links",
  sep = " ; ",
  quiet = FALSE,
  ...
)

Arguments

x	One of: a data frame from rtransparent::rt_data_code_pmc() / rt_all_pmc() (with open_data_links / open_code_links columns); a named list with those elements; or a character vector of " ; "-joined data-link strings.
id_col	Optional name of a column in x identifying the source article (e.g. "pmid" or "doi"); used to label each result.
data_metric_version	Metric version for data identifiers (default "0.8").
code_metric_version	Metric version for code repositories (default "0.7_software").
data_col, code_col	Column/element names holding the joined links (defaults match rtransparent: "open_data_links", "open_code_links").
sep	Separator rtransparent uses to join identifiers (default " ; ").
quiet	If FALSE (default), print per-identifier progress.
...	Passed to assess_fair().

Value

A data frame with one row per (article, kind, identifier): source (article id), kind ("data" or "code"), and the columns of assess_fair_batch(). Each unique identifier is assessed once.

See Also

assess_fair_batch(), split_identifiers(), assess_fair()

Examples

assess_data_code(list(open_data_links = "https://doi.org/10.5281/zenodo.8347772",
                      open_code_links = "https://github.com/pangaea-data-publisher/fuji"))

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