Fabricated Data Detection is a systematic methodological framework within research integrity science that identifies non-existent or artificially generated data presented as empirical evidence in scholarly work, distinguishing it from related misconduct detection approaches by its exclusive focus on the invention of data rather than falsification or plagiarism.
10
Publications
500
Citations
17
Authors
7
Institutions
Publications per year
2017–2026
3
Parents
Publications
10
Automated quality control for mobile data collection
Benjamin Birnbaum, Brian DeRenzi, Abraham D. Flaxman et al. · 2012 · 21 citations
1–5 of 10
Authors
17
- CS
2
h-index
- GG
2
h-index
- JS
2
h-index
- YPYiangos Papanastasiou
University of California, Berkeley, United States
2 publications · 138 citations
2
h-index
- KM
2
h-index
1–5 of 17
Institutions
7
University of California, Berkeley
Berkeley, United States
2 h-index
2 publications
138 citations
Seattle University
Seattle, United States
1 h-index
2 publications
42 citations
Dimagi (United States)
Cambridge, United States
1 h-index
1 publications
21 citations
Tilburg University
Tilburg, The Netherlands
1 h-index
4 publications
72 citations
University of Washington
Seattle, United States
1 h-index
3 publications
63 citations
Universitat Ramon Llull
Barcelona, Spain
1 h-index
1 publications
37 citations
IQVIA (United Kingdom)
London, United Kingdom
1 h-index
1 publications
19 citations
Humboldt-Universität zu Berlin
Berlin, Germany
1 publications
13 citations
1–8 of 7
Venues
- SSRN Electronic Journal
Repository · 2 publications · 54 citations
2
h-index
- Journal of Contextual Economics – Schmollers Jahrbuch
1 publications · 14 citations
1
h-index
- Pharmaceutical Statistics
1 publications · 19 citations
1
h-index
- Econstor (Econstor)
Repository · 1 publications · 33 citations
1
h-index
- Journal of Applied Statistics
1 publications · 210 citations
1
h-index
1–5