Source Data Error Detection is a methodological process within clinical research data management that identifies discrepancies between source data and recorded data by systematically comparing original observations or measurements to their transcribed or entered counterparts, thereby ensuring data integrity and regulatory compliance.
6
Publications
237
Citations
12
Authors
8
Institutions
Publications per year
2017–2026
1
Parents
Publications
6
1–5 of 6
Authors
12
- AA
1
h-index
- LV
1
h-index
- MO
1
h-index
- ZA
1
h-index
- AH
1
h-index
1–5 of 12
Institutions
8
Cancer Research UK
London, United Kingdom
1 h-index
3 publications
234 citations
Royal North Shore Hospital
St Leonards, Australia
1 h-index
1 publications
40 citations
University College London
London, United Kingdom
1 h-index
2 publications
156 citations
University of Liverpool
Liverpool, United Kingdom
1 h-index
1 publications
78 citations
Technische Universität Berlin
Berlin, Germany
1 h-index
2 publications
64 citations
University of Cambridge
Cambridge, United Kingdom
1 h-index
1 publications
23 citations
World Health Organization
Geneva, Switzerland
1 h-index
3 publications
63 citations
University of Wollongong
Wollongong, Australia
1 h-index
3 publications
129 citations
1–8 of 8
Venues
- Food and Nutrition Bulletin
1 publications · 21 citations
1
h-index
- Studies in health technology and informatics
Book series · 1 publications · 43 citations
1
h-index
- Biophysical Journal
1 publications · 40 citations
1
h-index
- Journal of Historical Geography
1 publications · 23 citations
1
h-index
- Clinical Trials
1 publications · 78 citations
1
h-index
1–5