Package index

Assessment

assess_fair()

Assess the FAIRness of a research data object.

as_fuji_json()

Convert a FAIR assessment to F-UJI-compatible JSON.

id_parse()

Parse a persistent identifier or URL.

rfair_metric_versions()

List the metric versions bundled with rfair.

Batch assessment and rtransparent

assess_data_code()

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

assess_fair_batch()

Assess the FAIRness of a batch of identifiers

split_identifiers()

Split a joined identifier string into individual identifiers.

Assessment object

fair_assessment

The fair_assessment object

as.data.frame(<fair_assessment>)

Convert a FAIR assessment to a per-metric data frame.

summary(<fair_assessment>)

Summarize a FAIR assessment as an F/A/I/R score table.

plot(<fair_assessment>)

Plot a FAIR assessment as a scorecard

Example data

fair_example

An example FAIR assessment

Beyond F-UJI (reuse, sensitivity, hygiene, FAIR-TLC)

license_reuse()

Assess the reuse permissions granted by a license.

classify_access()

Classify the access level and sensitivity of a data object.

reusabledata_rating()

Look up a (Re)usable Data Project curation for a source.

identifier_hygiene()

Check an identifier against best-practice / hygiene heuristics.

fair_principles()

The canonical FAIR (sub)principles.

fair4rs_principles()

The FAIR Principles for Research Software (FAIR4RS).

principle_definition()

Canonical definition of the FAIR principle a metric maps to.

fair_tlc()

FAIR-TLC indicators (Traceable, Licensed, Connected)

as_rdf()

Serialize a FAIR assessment to RDF (DQV + schema.org Rating).

App

launch_rfair()

Launch the rfair Shiny app