nullarguments. A null argument value means that the metadata element can not be provided, and the reason for that is unspecified. Alternatively, users can specify why a metadata element is missing by providing a value created by
Unless otherwise noted in the Javadoc, all getter methods may return an empty collection,
an empty array or
null if the type is neither a collection or an array.
Note that non-null values may be
Unless the metadata object has been marked as unmodifiable and unless otherwise noted in the Javadoc, all collections returned by getter methods are live: adding new elements in the collection modify directly the underlying metadata object.
- See Also:
Defined in the
Class Summary Class Description AbstractCompletenessPresence and absence of features, their attributes and their relationships. AbstractElementType of test applied to the data specified by a data quality scope. AbstractLogicalConsistencyDegree of adherence to logical rules of data structure, attribution and relationships. AbstractPositionalAccuracyAccuracy of the position of features. AbstractResultType of test applied to the data specified by a data quality scope. AbstractTemporalAccuracyAccuracy of the temporal attributes and temporal relationships of features. AbstractThematicAccuracyAccuracy of quantitative attributes and the correctness of non-quantitative attributes and of the classifications of features and their relationships. DefaultAbsoluteExternalPositionalAccuracyCloseness of reported coordinate values to values accepted as or being true. DefaultAccuracyOfATimeMeasurementCorrectness of the temporal references of an item (reporting of error in time measurement). DefaultCompletenessCommissionExcess data present in the dataset, as described by the scope. DefaultCompletenessOmissionData absent from the dataset, as described by the scope. DefaultConceptualConsistencyAdherence to rules of the conceptual schema. DefaultConformanceResultInformation about the outcome of evaluating the obtained value (or set of values) against a specified acceptable conformance quality level. DefaultCoverageResultResult of a data quality measure organising the measured values as a coverage. DefaultDataQualityQuality information for the data specified by a data quality scope. DefaultDomainConsistencyAdherence of values to the value domains. DefaultFormatConsistencyDegree to which data is stored in accordance with the physical structure of the dataset, as described by the scope. DefaultGriddedDataPositionalAccuracyCloseness of gridded data position values to values accepted as or being true. DefaultNonQuantitativeAttributeAccuracyAccuracy of non-quantitative attributes. DefaultQuantitativeAttributeAccuracyAccuracy of quantitative attributes. DefaultQuantitativeResultInformation about the value (or set of values) obtained from applying a data quality measure. DefaultRelativeInternalPositionalAccuracyCloseness of the relative positions of features in the scope to their respective relative positions accepted as or being true. DefaultScope Deprecated.As of ISO 19115:2014,
DQ_Scopehas been replaced by
DefaultTemporalConsistencyCorrectness of ordered events or sequences, if reported. DefaultTemporalValidityValidity of data specified by the scope with respect to time. DefaultThematicClassificationCorrectnessComparison of the classes assigned to features or their attributes to a universe of discourse. DefaultTopologicalConsistencyCorrectness of the explicitly encoded topological characteristics of the dataset as described by the scope. DefaultUsability Deprecated.Not found in ISO 19115-3:2016 schemas.