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--- data_quality_dimension:relevance [2023/02/19 19:38]
peter
+++ data_quality_dimension:relevance [2024/06/28 12:19] (current)
peter
@@ Line 4: / Line 4: @@
 Relevance of a [[data_concept:dataset_composition|composition of a dataset]] is
 the degree to which the [[data_concept:dataset_composition|composition of a dataset]]
-meets the needs of [[role:data consumer|data consumer]].
+meets the needs of [[role:data_user|data users]].
+===Synonym===
+Usability
 ===Relation(s)===
-Relevance is a [[data_quality_dimension:characteristic|characteristic]] of the [[data_concept:dataset_composition|composition of a dataset]].
+|Relevance| is a [[general_term:characteristic|characteristic]] of the |[[data_concept:dataset_composition|composition of a dataset]]|
+===Example===
+The order file is not relevant because it doen't regard the right period in time.
 ===Reference(s)===
 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}}