Data Completeness Assessment
Data Completeness Assessment is a data quality evaluation method that systematically determines the extent to which required data elements are present and available within a given dataset, particularly in the context of well test data, by identifying gaps, missing values, or omissions relative to predefined completeness criteria.
32
Publications
982
Citations
127
Authors
63
Institutions
Publications per year
2017–2026
17
32
Big Data Quality: A Quality Dimensions Evaluation
Ikbal Taleb, Hadeel T. El Kassabi, Mohamed Adel Serhani et al. · 2016 · 80 citations
1–5 of 32
127
University of Arkansas for Medical Sciences, United States
2 publications · 60 citations
2
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 127
63
University of Washington
Seattle, United States
3 h-index
15 publications
436 citations
United Arab Emirates University
Al Ain, United Arab Emirates
2 h-index
2 publications
128 citations
University of Colorado Anschutz Medical Campus
Aurora, United States
2 h-index
3 publications
108 citations

University of Colorado Denver
Denver, United States
2 h-index
2 publications
60 citations

Concordia University
Montreal, Canada
2 h-index
5 publications
336 citations

University of Oulu
Oulu, Finland
1 h-index
2 publications
20 citations

Harbin Institute of Technology
Harbin, China
1 h-index
1 publications
33 citations
Albany State University
Albany, United States
1 h-index
2 publications
220 citations
1–8 of 63
Repository · 3 publications · 56 citations
3
h-index
2 publications · 60 citations
2
h-index
1 publications · 17 citations
1
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1 publications · 22 citations
1
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1 publications · 21 citations
1
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1–5