| AbstractCompleteness |
Presence and absence of features, their attributes and their relationships.
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| AbstractElement |
Type of test applied to the data specified by a data quality scope.
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| AbstractLogicalConsistency |
Degree of adherence to logical rules of data structure, attribution and relationships.
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| AbstractPositionalAccuracy |
Accuracy of the position of features.
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| AbstractResult |
Type of test applied to the data specified by a data quality scope.
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| AbstractTemporalAccuracy |
Accuracy of the temporal attributes and temporal relationships of features.
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| AbstractThematicAccuracy |
Accuracy of quantitative attributes and the correctness of non-quantitative attributes
and of the classifications of features and their relationships.
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| DefaultAbsoluteExternalPositionalAccuracy |
Closeness of reported coordinate values to values accepted as or being true.
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| DefaultAccuracyOfATimeMeasurement |
Correctness of the temporal references of an item (reporting of error in time measurement).
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| DefaultCompletenessCommission |
Excess data present in the dataset, as described by the scope.
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| DefaultCompletenessOmission |
Data absent from the dataset, as described by the scope.
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| DefaultConceptualConsistency |
Adherence to rules of the conceptual schema.
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| DefaultConformanceResult |
Information about the outcome of evaluating the obtained value (or set of values) against
a specified acceptable conformance quality level.
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| DefaultCoverageResult |
Result of a data quality measure organising the measured values as a coverage.
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| DefaultDataQuality |
Quality information for the data specified by a data quality scope.
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| DefaultDomainConsistency |
Adherence of values to the value domains.
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| DefaultFormatConsistency |
Degree to which data is stored in accordance with the physical structure of the dataset, as described by the scope.
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| DefaultGriddedDataPositionalAccuracy |
Closeness of gridded data position values to values accepted as or being true.
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| DefaultNonQuantitativeAttributeAccuracy |
Accuracy of non-quantitative attributes.
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| DefaultQuantitativeAttributeAccuracy |
Accuracy of quantitative attributes.
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| DefaultQuantitativeResult |
Information about the value (or set of values) obtained from applying a data quality measure.
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| DefaultRelativeInternalPositionalAccuracy |
Closeness of the relative positions of features in the scope to their respective
relative positions accepted as or being true.
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| DefaultScope |
Deprecated.
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| DefaultTemporalConsistency |
Correctness of ordered events or sequences, if reported.
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| DefaultTemporalValidity |
Validity of data specified by the scope with respect to time.
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| DefaultThematicClassificationCorrectness |
Comparison of the classes assigned to features or their attributes to a universe of discourse.
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| DefaultTopologicalConsistency |
Correctness of the explicitly encoded topological characteristics of the dataset as described by the scope.
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| DefaultUsability |
Deprecated.
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