OverviewFor a global overview of metadata in SIS, see the
Null values, nil objects and collectionsAll constructors and setter methods accept
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
ClassDescriptionPresence and absence of features, their attributes and their relationships.Type of test applied to the data specified by a data quality scope.Degree of adherence to logical rules of data structure, attribution and relationships.Accuracy of the position of features.Type of test applied to the data specified by a data quality scope.Accuracy of the temporal attributes and temporal relationships of features.Accuracy of quantitative attributes and the correctness of non-quantitative attributes and of the classifications of features and their relationships.Closeness of reported coordinate values to values accepted as or being true.Correctness of the temporal references of an item (reporting of error in time measurement).Excess data present in the dataset, as described by the scope.Data absent from the dataset, as described by the scope.Adherence to rules of the conceptual schema.Information about the outcome of evaluating the obtained value (or set of values) against a specified acceptable conformance quality level.Result of a data quality measure organising the measured values as a coverage.Quality information for the data specified by a data quality scope.Adherence of values to the value domains.Degree to which data is stored in accordance with the physical structure of the dataset, as described by the scope.Closeness of gridded data position values to values accepted as or being true.Accuracy of non-quantitative attributes.Accuracy of quantitative attributes.Information about the value (or set of values) obtained from applying a data quality measure.Closeness of the relative positions of features in the scope to their respective relative positions accepted as or being true.Deprecated.As of ISO 19115:2014,
DQ_Scopehas been replaced by
MD_Scope.Correctness of ordered events or sequences, if reported.Validity of data specified by the scope with respect to time.Comparison of the classes assigned to features or their attributes to a universe of discourse.Correctness of the explicitly encoded topological characteristics of the dataset as described by the scope.Deprecated.Not found in ISO 19115-3:2016 schemas.