Sampling Data Quality
Sampling Data Quality is a methodological construct within resource reporting standards that evaluates the representativeness, accuracy, and reliability of data collected through sampling techniques to ensure valid inference and transparency in scientific reporting.
62
Publications
7.2K
Citations
239
Authors
126
Institutions
Publications per year
2017–2026
26
Parents
62
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
The All of Us Research Program: Data quality, utility, and diversity
Andrea H. Ramirez, Lina Sulieman, David J. Schlueter et al. · Patterns · 2022 · 329 citations · Full text
Computing, Data Science, Data Ethics +13
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126
Harvard University
Cambridge, United States
3 h-index
5 publications
397 citations
University of Maryland, College Park
College Park, United States
2 h-index
2 publications
225 citations
University of Konstanz
Konstanz, Germany
2 h-index
2 publications
94 citations
University of California, Berkeley
Berkeley, United States
2 h-index
2 publications
196 citations
Hebrew University of Jerusalem
Jerusalem, Israel
2 h-index
2 publications
1.7K citations
University of Rochester Medical Center
Rochester, United States
2 h-index
2 publications
486 citations
KU Leuven
Leuven, Belgium
2 h-index
3 publications
133 citations
University of Wisconsin–Madison
Madison, United States
2 h-index
2 publications
196 citations
1–8 of 126
2 publications · 23 citations
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LiveCoMS · 2 publications · 192 citations
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JHR · 2 publications · 244 citations
2
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2 publications · 101 citations
2
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1 publications · 168 citations
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1–5