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Assess the FAIRness of a batch of identifiers

Source: R/assess_data_code.R
assess_fair_batch.Rd

Runs assess_fair() over a vector of identifiers and returns one tidy row per identifier (deduplicated). Failures are captured in an error column rather than aborting the batch.

Usage

assess_fair_batch(ids, metric_version = "0.8", quiet = FALSE, ...)

Arguments

ids

Character vector of DOIs, PIDs, URLs, or identifiers.org codes.

metric_version

Metric version (see rfair_metric_versions()).

quiet

If FALSE (default), print per-identifier progress.

...

Passed to assess_fair().

Value

A data frame with one row per unique identifier: identifier, metric_version, scheme, is_persistent, resolved_url, fair_percent, F, A, I, R, maturity, n_pass, n_metrics, error.

See also

assess_data_code(), assess_fair()

Examples

# \donttest{
assess_fair_batch(c("https://doi.org/10.5281/zenodo.8347772", "geo:GSE12345"))
#> [1/2] assessing https://doi.org/10.5281/zenodo.8347772
#> [2/2] assessing geo:GSE12345
#>                               identifier metric_version scheme is_persistent
#> 1 https://doi.org/10.5281/zenodo.8347772            0.8    doi          TRUE
#> 2                           geo:GSE12345            0.8    geo          TRUE
#>                                                  resolved_url fair_percent
#> 1                          https://zenodo.org/records/8347772        88.46
#> 2 https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE12345        19.23
#>        F      A     I     R maturity n_pass n_metrics error
#> 1 100.00 100.00 66.67 83.33      2.5     15        17  <NA>
#> 2  28.57  42.86  0.00  0.00      1.0      5        17  <NA>
# }