FAIR-TLC indicators (Traceable, Licensed, Connected)

Computes the three "FAIR+" indicators proposed by Haendel and colleagues in the Monarch Initiative / NCATS TransMed response to the NIH RFI on biomedical repository value metrics (doi:10.5281/zenodo.203295 ), building on the (Re)usable Data Project (doi:10.1371/journal.pone.0213090 ). They extend FAIR with the provenance and legal dimensions that automated FAIR tools usually miss: whether data is Traceable (provenance, attribution), Licensed (clearly documented and actually reusable), and Connected (qualified links to related entities).

Usage

fair_tlc(x)

Arguments

x

A fair_assessment from assess_fair().

Value

A data frame with columns dimension, indicator, met (logical), and detail, plus a "source" attribute citing the framework.

Examples

# \donttest{
a <- assess_fair("https://doi.org/10.5281/zenodo.8347772")
fair_tlc(a)
#>   dimension                             indicator   met
#> 1 Traceable                         T1 Provenance  TRUE
#> 2 Traceable                        T2 Attribution  TRUE
#> 3  Licensed L1 Documented & minimally restrictive  TRUE
#> 4  Licensed           L2 Flowthrough transparency FALSE
#> 5 Connected                      C1 Connectedness  TRUE
#>                                                          detail
#> 1               data creation/generation provenance is recorded
#> 2              creators and publisher are recorded for citation
#> 3     a standard license is present that actually permits reuse
#> 4 downstream reuse/redistribution implications are determinable
#> 5               qualified links to related entities are present
# }