Source Data Discrepancy Management is a systematic process within clinical research data governance that identifies, evaluates, and resolves inconsistencies between source data and recorded study data to ensure accuracy, reliability, and regulatory compliance.
4
Publications
162
Citations
15
Authors
6
Institutions
Publications per year
2017–2026
1
Parents
Publications
4
Yixuan Zhang, Nurul Suhaimi, Nutchanon Yongsatianchot et al. · CHI Conference on Human Factors in Computing Systems · 2022 · 37 citations
Social Sciences, Information Systems, Mass Communication +11
Use of contradictory data sources in stock assessments
Laura J. Richards · Fisheries Research · 1991 · 35 citations
Business, Finance, Corporate Finance +13
1–4 of 4
Authors
15
- YS
1
h-index
- RR
1
h-index
- JD
1
h-index
- SA
1
h-index
- MO
1
h-index
1–5 of 15
Institutions
6
Georgia Institute of Technology
Atlanta, United States
1 h-index
3 publications
111 citations
William & Mary
Williamsburg, United States
1 h-index
1 publications
37 citations
Emory University
Atlanta, United States
1 h-index
2 publications
74 citations
University of Cambridge
Cambridge, United Kingdom
1 h-index
1 publications
23 citations
Northeastern University
Boston, United States
1 h-index
5 publications
185 citations
Fisheries and Oceans Canada
Ottawa, Canada
1 h-index
1 publications
35 citations
1–6 of 6
Venues
- CHI Conference on Human Factors in Computing Systems
Conference · 1 publications · 37 citations
1
h-index
- Journal of Historical Geography
1 publications · 23 citations
1
h-index
- IRIS Research product catalog (Sapienza University of Rome)
Repository · 1 publications · 67 citations
1
h-index
- Fisheries Research
1 publications · 35 citations
1
h-index
1–4