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113 bytes added ,  10:35, 6 May 2022
adding a reference to the GC data quality framework
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''For the emerging GC approach to defining and assessing data quality, see the [[GC Data Quality Framework]].''
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The '''DAMA-DMBOK2''' defines data quality (DQ) as “the planning, implementation, and control of activities that apply quality management techniques to data, in order to assure it is fit for consumption and meet the needs of data consumers.” <ref>DAMA-DMBOK2, Figure 91 Context Diagram: Data Quality, p.451</ref><br><br>The DAMA-BMBOK2 goes on to explain that the "term data quality refers both to the characteristics associated with high quality data and to the processes used to measure or improve the quality of data." <ref>DAMA-DMBOK2, 1.3.1 Data Quality, p.453</ref><br>
 
The '''DAMA-DMBOK2''' defines data quality (DQ) as “the planning, implementation, and control of activities that apply quality management techniques to data, in order to assure it is fit for consumption and meet the needs of data consumers.” <ref>DAMA-DMBOK2, Figure 91 Context Diagram: Data Quality, p.451</ref><br><br>The DAMA-BMBOK2 goes on to explain that the "term data quality refers both to the characteristics associated with high quality data and to the processes used to measure or improve the quality of data." <ref>DAMA-DMBOK2, 1.3.1 Data Quality, p.453</ref><br>