Data Quality Documentation
Data Quality Documentation is a formal academic artifact that systematically records the methods, criteria, and assessments employed in evaluating the quality of data, distinguishing it from other data management practices by its primary focus on the transparency, traceability, and reproducibility of data quality evaluation processes.
24
Publications
954
Citations
102
Authors
60
Institutions
Publications per year
2017–2026
10
Parents
24
Data quality requirements analysis and modeling
R.Y. Wang, H. Kon, Stuart Madnick · 2002 · 206 citations
CVAP: Validation for Cluster Analyses
Kaijun Wang, Baijie Wang, Liuqing Peng · Data Science Journal · 2009 · 155 citations · Full text
1–5 of 24
102
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60
NOAA National Centers for Environmental Information
Asheville, United States
1 h-index
2 publications
38 citations

Haverford College
Haverford, United States
1 h-index
2 publications
92 citations
Curtin University
Perth, Australia
1 h-index
1 publications
19 citations
Massachusetts Institute of Technology
Cambridge, United States
1 h-index
3 publications
618 citations
Fujian Normal University
Fuzhou, China
1 h-index
1 publications
155 citations
Science Systems and Applications (United States)
Lanham, United States
1 h-index
1 publications
19 citations

Mohammed V University
Rabat, Morocco
1 h-index
2 publications
26 citations
University of North Carolina at Asheville
Asheville, United States
1 h-index
1 publications
19 citations
1–8 of 60
2 publications · 174 citations
2
h-index
2 publications · 37 citations
2
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Repository · 1 publications · 15 citations
1
h-index
1 publications · 52 citations
1
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Repository · 1 publications · 28 citations
1
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1–5