Data Validity Checking
Data Validity Checking is a methodological procedure in epidemiologic data quality assurance that verifies the accuracy and correctness of data values by assessing their adherence to predefined semantic, syntactic, and domain-specific rules to ensure they faithfully represent the intended measured phenomena.
159
Publications
8.9K
Citations
630
Authors
332
Institutions
Publications per year
2017–2026
68
159
Irawan Soehartono · 2002 · 1.8K citations
Ulbert Silalahi · 2012 · 596 citations
Rachel Pozzar, Marilyn J. Hammer, Meghan Underhill‐Blazey et al. · Journal of Medical Internet Research · 2020 · 324 citations · Full text
Data Quality in HIV/AIDS Web-Based Surveys
José A. Bauermeister, Emily S. Pingel, Marc A. Zimmerman et al. · Field Methods · 2012 · 203 citations
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332

University of Liverpool
Liverpool, United Kingdom
4 h-index
20 publications
765 citations
Columbia University
New York, United States
3 h-index
9 publications
519 citations
State University of Padang
Padang, Indonesia
3 h-index
6 publications
251 citations
University College London
London, United Kingdom
3 h-index
5 publications
250 citations
University of Michigan
Ann Arbor, United States
3 h-index
13 publications
1.6K citations

University of Leeds
Leeds, United Kingdom
3 h-index
3 publications
87 citations

University of Colorado Denver
Denver, United States
3 h-index
3 publications
189 citations

Aarhus University Hospital
Aarhus, Denmark
3 h-index
3 publications
124 citations
1–8 of 332
Repository · 5 publications · 102 citations
5
h-index
3 publications · 73 citations
3
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2 publications · 23 citations
2
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2 publications · 74 citations
2
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JSS · 2 publications · 53 citations
2
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