Null values, nil objects and collectionsAll constructors and setter methods accept
A null argument value means that the metadata element cannot 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.
ClassDescriptionPresence and absence of features, their attributes and their relationships.Data evaluation method.Aspect of quantitative quality information.Degree of adherence to logical rules of data structure, attribution and relationships.Information about the reliability of data quality results.Accuracy of the position of features.Base class of more specific result classes.Deprecated.Renamed
AbstractTemporalQualityfor following a renaming in ISO 19157:2013.Accuracy of the temporal attributes and temporal relationships of features.Accuracy and correctness of attributes and classification of features.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).Aggregation or derivation method.Data quality basic measure.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.Trustworthiness of a data quality result.Information about the outcome of evaluating the value(s) 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.Data quality descriptive result.Adherence of values to the value domains.Description of the evaluation method and procedure applied.Reference to an external standalone quality report.Degree to which data are stored in accordance with the physical structure of the data set.Full inspection.Closeness of gridded data position values to values accepted as or being true.Expected or tested uniformity of the results obtained for a data quality evaluation.Indirect evaluation.Data quality measure description.Reference to the measure used.Deprecated.Renamed
DefaultNonQuantitativeAttributeCorrectnessfor following a renaming in ISO 19157:2013.Correctness of non-quantitative attributes.Data quality measure.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.Degree to which the sample used has produced a result which is representation of the data.Sample based inspection.Deprecated.As of ISO 19115:2014,
DQ_Scopehas been replaced by
MD_Scope.Reference to the source of the data quality measure.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 data set.Deprecated.Removed from latest ISO 19157 standard.