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data_quality_dimension:relevance [2023/02/19 19:37]
peter
data_quality_dimension:relevance [2024/03/08 13:33] (current)
Line 4: Line 4:
 Relevance of a [[data_concept:dataset_composition|composition of a dataset]] is  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]]  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]].
  
 ===Relation(s)=== ===Relation(s)===
-Relevance is a [[data_quality_dimension:characteristic|characteristic]] of [[data_concept:dataset_composition|composition of a dataset]].+|Relevanceis 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)=== ===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 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}}
data_quality_dimension/relevance.1676835470.txt.gz · Last modified: 2024/03/08 13:33 (external edit)