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--- data_quality_dimension:consistency [2023/03/12 17:31]
peter
+++ data_quality_dimension:consistency [2024/03/08 13:33] (current)
@@ Line 7: / Line 7: @@
   * Record level consistency is the degree to which two [[data_concept:data value|data values]] within a [[data_concept:data record|data record]] comply with a [[data_concept:data element|data element]] of a [[data_concept:dataset|dataset]] at different points in time comply with a [[data_quality_management_system/data_quality_rule|data quality rule]].
-===Relation(s)===
+===Relation===
-  * Consistency is a [[general_term:characteristic|characteristic]] of [[data_concept:data value|data values]] of [[data_concept:data element|data element]] of a [[data_concept:dataset|dataset]].
+|Consistency| is a [[general_term:characteristic|characteristic]] of related |[[data_concept:data value|data values]]|
-  * Consistency is a [[general_term:characteristic|characteristic]] of [[data_concept:data value|data values]] of [[data_concept:data element|data elements]] of different [[data_concept:dataset|datasets]]
-  * Consistency is a [[general_term:characteristic|characteristic]] of [[data_concept:data value|data values]] between [[data_concept:data record|data records]].
-  * Consistency is a [[general_term:characteristic|characteristic]] of [[data_concept:data value|data values]] within a [[data_concept:data record|data record]]
 ===Examples==
@@ Line 51: / Line 49: @@
 Data quality rule: Maileage increases over time or remained the same.
-===Reference(s)===
+===Reference===
 DAMA NL (2020). Dimensions of Data Quality (DDQ). Research paper. https://www.dama-nl.org/wp-content/uploads/2020/09/DDQ-Dimensions-of-Data-Quality-Research-Paper-version-1.2-d.d.-3-Sept-2020.pdf
+{{tag>All DataQualityDimension}}

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