Source Data Quality Control
Source Data Quality Control is a systematic methodological framework within the domain of clinical research data management that ensures the accuracy, completeness, and consistency of original data records by applying predefined verification and validation procedures at the point of data collection and entry.
24
Publications
641
Citations
111
Authors
72
Institutions
Publications per year
2017–2026
13
Parents
24
Is Google Trends a quality data source?
Eduardo Cebrián, Josep Domènech · Applied Economics Letters · 2022 · 74 citations · Full text
Computing, Data Science, Economics +17
1–5 of 24
111
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72
Bristol-Myers Squibb (Sweden)
Solna, Sweden
1 h-index
2 publications
96 citations
Flatiron Health (United States)
New York, United States
1 h-index
3 publications
126 citations
Allergan (Ireland)
Westport, Ireland
1 h-index
1 publications
48 citations

Harbin Institute of Technology
Harbin, China
1 h-index
4 publications
52 citations
University of Pennsylvania
Philadelphia, United States
1 h-index
1 publications
83 citations
Queensland Health
Brisbane, Australia
1 h-index
1 publications
11 citations
American Association For Cancer Research
Philadelphia, United States
1 h-index
1 publications
19 citations
Sanofi (United States)
Bridgewater, United States
1 h-index
1 publications
48 citations
1–8 of 72
2 publications · 61 citations
2
h-index
TIRS · 2 publications · 64 citations
2
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DIA · 2 publications · 46 citations
2
h-index
Repository · 1 publications · 23 citations
1
h-index
1 publications · 10 citations
1
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1–5