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
quantitative_result from Quality Procedures - - renamed to remove implied use limitiation.
Quality information for the data specified by a data quality scope
Adherence of values to the value domains
Type of method for evaluating an identified data quality measure.
Closeness of gridded data position values to values accepted as or being true
Information about the events or source data used in constructing the data specified by the scope or lack of knowledge about lineage
Correctness of non-quantitative attributes
Information about an event in the creation process for the data specified by the scope
Accuracy of quantitative attributes
Quantitative_conformance_measure from Quality Procedures.
Closeness of the relative positions of features in the scope to their respective relative positions accepted as or being true
Description of the data specified by the scope
Information about the source data used in creating the data specified by the 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
This package contains a general assessment of the quality of the dataset. The DQ_DataQuality entity is optional and contains the scope of the quality assessment. DQ_DataQuality is an aggregate of LI_Lineage and DQ_Element. DQ_Element can be specified as DQ_Completeness, DQ_LogicalConsistency, DQ_PositionalAccuracy, DQ_ThematicAccuracy and DQ_TemporalAccuracy. Those five entities represent Elements of data quality and can be further subclassed to the sub-Elements of data quality. Users may add additional elements and sub-elements of data quality by sub-classing DQ_Element or the appropriate sub-element.
This package also contains information about the sources and production processes used in producing a dataset. The LI_Lineage entity is optional and contains a statement about the lineage. LI_Lineage is an aggregate of LI_ProcessStep and LI_Source.
Either the "report" or "lineage" roles of DQ_DataQuality DQ_DataQuality.scope.DQ_Scope.level has a value of "dataset".
The "levelDescription" element of DQ_Scope is mandatory if the "level" element of DQ_Scope does not have a value of "dataset" or "series".
The "statement" element of LI_Lineage is mandatory if DQ_DataQuality.scope.DQ_Scope.level has a value of "dataset" or "series" and the LI_Lineage roles of "source" and "processStep" are not documented.
The "source" role of LI_Lineage is mandatory if the "statement" element and the "processStep" role of LI_Lineage are not documented.
The "processStep" role of LI_Lineage is mandatory if the "statement" element and the "source" role of LI_Lineage are not documented.
Either the "description" or "sourceExtent" element of LI_Source must be documented.
This package is described in ISO19115:2003 in figure A.11 (diagram) and B.2.9 (data dictionary).