Data Quality Frameworks
Data Quality Frameworks is a structured academic construct that specifies the principles, dimensions, and methodologies for systematically evaluating, monitoring, and improving data quality within organizational and technical contexts.
236
Publications
20.8K
Citations
704
Authors
330
Institutions
Publications per year
2017–2026
71
Parents
236
Data quality of platforms and panels for online behavioral research
Eyal Peer, David Rothschild, Gordon Andrew et al. · Behavior Research Methods · 2021 · 1.6K citations · Full text
Benjamin T. Hazen, Christopher A. Boone, Jeremy D. Ezell et al. · International Journal of Production Economics · 2014 · 847 citations
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330
University of Castilla-La Mancha
Ciudad Real, Spain
8 h-index
18 publications
1.2K citations

University of Milano-Bicocca
Milan, Italy
6 h-index
12 publications
1.7K citations

Monash University
Melbourne, Australia
6 h-index
11 publications
772 citations
Leipzig University
Leipzig, Germany
5 h-index
9 publications
1.4K citations

University of South Australia
Adelaide, Australia
4 h-index
10 publications
717 citations
Massachusetts Institute of Technology
Cambridge, United States
4 h-index
5 publications
1.7K citations

University of Toronto
Toronto, Canada
3 h-index
4 publications
178 citations

Old Dominion University
Norfolk, United States
3 h-index
4 publications
576 citations
1–8 of 330
8 publications · 244 citations
8
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7 publications · 299 citations
7
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JDIQ · 6 publications · 668 citations
6
h-index
6 publications · 188 citations
6
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5 publications · 801 citations
5
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