Machine-readable metadata that describes a digital resource is available.
metricRationale: 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
URL(s):
View AssociationsMetric Assessments (79)
| Assessment | Metrics | Date | |||
|---|---|---|---|---|---|
| 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 |
|
Oct 27, 2021 | |
| IDG Smart Open APIs 2023 | The SmartAPI Rubric | Drugcentral_Pharos_NewDrugTargets |
|
yes (1.00) | Jun 9, 2023 |
| Genetic Epidemiology of COPD (COPDGene) | dbGap Study Rubric | Trans-Omics for Precision Medicine (TOPMed) Program |
|
Aug 1, 2023 | |
| FAIRshake | The SmartAPI Rubric | FAIR Assessment of NIH Data Commons APIs |
|
yes (1.00) | Sep 1, 2023 |
