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