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

metric

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

Tags: DCPPC

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Metric Assessments (79)


Assessment Metrics
Target Rubric Project   Machine-readable metadata that describes a digital resource is available.
Framingham Cohort dbGap Study Rubric Trans-Omics for Precision Medicine (TOPMed) Program
 
IDG Smart Open APIs 2023 The SmartAPI Rubric Drugcentral_Pharos_NewDrugTargets
yes (1.00)
Genetic Epidemiology of COPD (COPDGene) dbGap Study Rubric Trans-Omics for Precision Medicine (TOPMed) Program
 
FAIRshake The SmartAPI Rubric FAIR Assessment of NIH Data Commons APIs
yes (1.00)