Assess the FAIRness of Research Data Objects and Software

Documentation for package ‘rfair’ version 0.1.0

as.data.frame.fair_assessment	Convert a FAIR assessment to a per-metric data frame.
assess_data_code	Assess the FAIRness of the data and code shared in articles (rtransparent)
assess_fair	Assess the FAIRness of a research data object.
assess_fair_batch	Assess the FAIRness of a batch of identifiers
as_fuji_json	Convert a FAIR assessment to F-UJI-compatible JSON.
as_rdf	Serialize a FAIR assessment to RDF (DQV + schema.org Rating).
classify_access	Classify the access level and sensitivity of a data object.
fair4rs_principles	The FAIR Principles for Research Software (FAIR4RS).
fair_assessment	The 'fair_assessment' object
fair_example	An example FAIR assessment
fair_principles	The canonical FAIR (sub)principles.
fair_tlc	FAIR-TLC indicators (Traceable, Licensed, Connected)
identifier_hygiene	Check an identifier against best-practice / hygiene heuristics.
id_parse	Parse a persistent identifier or URL.
launch_rfair	Launch the rfair Shiny app
license_reuse	Assess the reuse permissions granted by a license.
plot.fair_assessment	Plot a FAIR assessment as a scorecard
principle_definition	Canonical definition of the FAIR principle a metric maps to.
reusabledata_rating	Look up a (Re)usable Data Project curation for a source.
rfair_metric_versions	List the metric versions bundled with rfair.
split_identifiers	Split a joined identifier string into individual identifiers.
summary.fair_assessment	Summarize a FAIR assessment as an F/A/I/R score table.