Machine-readable metadata that describes a digital resource is available.


Rationale: This metric does not attempt to measure (or even define) "Richness" - this will be defined in a future Metric. This metric is intended to test the format of the metadata - machine readability of metadata makes it possible to optimize discovery. For instance, Web search engines suggest the use of particular structured metadata elements to optimize search. Thus, the machine-readability aspect can help people and machines find a digital resource of interest. A URL to a document that contains machine-readable metadata for the digital resource. Furthermore, the file format must be specified.

FAIR Metrics: F2



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Associated Rubrics (3)

Repositive Discover datasets rubric

Rubric for the Repositive Discover datasets This rubric is cons...

DCPPC genomics data

dbGap Study Rubric


A set of metrics to evaluate the FAIRness of dbGap studies


The SmartAPI Rubric

A set of metrics to evaluate the FAIRness of API metadata registered with SmartAPI.