Data Quality Modeling
Data Quality Modeling is a methodological framework within information modeling that systematically defines, represents, and structures the dimensions, rules, constraints, and metrics governing the accuracy, completeness, consistency, and reliability of data in a given domain.
183
Publications
10.3K
Citations
486
Authors
251
Institutions
Publications per year
2017–2026
53
Parents
183
Overview and Framework for Data and Information Quality Research
Stuart Madnick, Richard Y. Wang, Yang W. Lee et al. · Journal of Data and Information Quality · 2009 · 424 citations
Modelling quality dynamics, business value and firm performance in a big data analytics environment
Steven Ji-Fan Ren, Samuel Fosso Wamba, Shahriar Akter et al. · International Journal of Production Research · 2016 · 332 citations · Full text
Business, Information Systems, Management Information Systems +17
Leontine Alkema, Jin Rou New, Jon Pedersen et al. · PLoS ONE · 2014 · 290 citations · Full text
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251
Massachusetts Institute of Technology
Cambridge, United States
7 h-index
17 publications
2.6K citations
University of Castilla-La Mancha
Ciudad Real, Spain
7 h-index
17 publications
1.2K citations
University at Albany, State University of New York
Albany, United States
5 h-index
7 publications
1.4K citations

University of Latvia
Riga, Latvia
4 h-index
10 publications
143 citations

University of Milano-Bicocca
Milan, Italy
4 h-index
10 publications
609 citations
École Supérieure des Sciences Économiques et Commerciales
Cergy, France
4 h-index
4 publications
86 citations
Ben-Gurion University of the Negev
Beersheba, Israel
3 h-index
3 publications
95 citations

University of St.Gallen
Saint Gallen, Switzerland
3 h-index
6 publications
174 citations
1–8 of 251
9 publications · 357 citations
9
h-index
7 publications · 494 citations
7
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JDIQ · 6 publications · 685 citations
6
h-index
5 publications · 126 citations
5
h-index
3 publications · 63 citations
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