Data Quality Validation
Data Quality Validation is a systematic process that belongs to the class of data quality management activities, distinguished by its specific focus on assessing the accuracy, completeness, consistency, and reliability of data against predefined quality standards or constraints to determine its suitability for intended analytical or operational purposes.
221
Publications
20.1K
Citations
960
Authors
446
Institutions
Publications per year
2017–2026
86
Parents
221
1–5 of 221
960
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2
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1–5 of 960
446
University of Michigan
Ann Arbor, United States
5 h-index
7 publications
752 citations
University College London
London, United Kingdom
4 h-index
4 publications
134 citations
San Jose State University
San Jose, United States
4 h-index
5 publications
291 citations

Ames Research Center
Mountain View, United States
4 h-index
25 publications
3.4K citations

Uppsala University
Uppsala, Sweden
4 h-index
6 publications
1.4K citations

Centre National de la Recherche Scientifique
Paris, France
4 h-index
8 publications
175 citations

Cornell University
Ithaca, United States
3 h-index
8 publications
530 citations

University of Ottawa
Ottawa, Canada
3 h-index
3 publications
50 citations
1–8 of 446
Repository · 6 publications · 259 citations
6
h-index
4 publications · 97 citations
4
h-index
3 publications · 116 citations
3
h-index
TRR · 3 publications · 49 citations
3
h-index
BAMS · 2 publications · 278 citations
2
h-index
1–5