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TG2 Data Quality Dimension
Paul J. Morris edited this page Jul 4, 2023
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Build vocabulary file from authoritative source: https://github.com/tdwg/bdq/blob/master/tg2/vocabularies/data_quality_dimensions.csv
- Completeness: The extent to which data are present and sufficiently comprehensive for use.
- Conformance: Conforms to a format, syntax, data type, range, or standard of the Information Element (q.v.).
- Consistency: Agreement among related Information Elements (q.v.) that are present in the data. Note that missing Information Elements do not make a test Inconsistent.
- Likeliness: The likelihood of Darwin Core Term(s) having true or expected values.
- Reliability: Measure of how the data values agree with an identified source of truth. The degree to which data correctly describes the truth (object, event or any abstract or real "thing").
- Resolution: Refers to the data having sufficiently detailed information. Measure of the granularity of the data, or the smallest measurable increment.