| fair_tlc | R Documentation |
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 (\Sexpr[results=rd]{tools:::Rd_expr_doi("10.5281/zenodo.203295")}), building on the (Re)usable Data Project (\Sexpr[results=rd]{tools:::Rd_expr_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).
fair_tlc(x)
x |
A fair_assessment from |
A data frame with columns dimension, indicator, met (logical),
and detail, plus a "source" attribute citing the framework.
a <- assess_fair("https://doi.org/10.5281/zenodo.8347772")
fair_tlc(a)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.