Data Quality Dimensions
Data Quality Dimensions is a theoretical construct that categorizes the fundamental attributes used to assess the quality of data, distinguishing itself by specifying measurable aspects such as accuracy, completeness, consistency, timeliness, and other criteria that collectively define the fitness of data for its intended use.
261
Publications
25.6K
Citations
761
Authors
371
Institutions
Publications per year
2017–2026
114
Parents
261
Competing on the Eight Dimensions of Quality
David A. Garvin · Harvard business review · 1987 · 1.6K citations
1–5 of 261
761
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Centre d'études et de recherche en informatique et communications, France
4 publications · 228 citations
4
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1–5 of 761
371

University of Milano-Bicocca
Milan, Italy
8 h-index
14 publications
1.9K citations
Massachusetts Institute of Technology
Cambridge, United States
5 h-index
10 publications
1.8K citations

Concordia University
Montreal, Canada
5 h-index
9 publications
463 citations
United Arab Emirates University
Al Ain, United Arab Emirates
4 h-index
5 publications
236 citations

University of Turin
Turin, Italy
4 h-index
4 publications
175 citations
Centre d'études et de recherche en informatique et communications
Paris, France
4 h-index
12 publications
684 citations

University of British Columbia
Vancouver, Canada
4 h-index
4 publications
1.5K citations
Universiti Putra Malaysia
Seri Kembangan, Malaysia
4 h-index
17 publications
1.4K citations
1–8 of 371
JDIQ · 6 publications · 376 citations
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4 publications · 388 citations
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JAIS · 4 publications · 78 citations
4
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4 publications · 89 citations
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4 publications · 152 citations
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