Data Fabrication Detection

Data Fabrication Detection is a methodological framework within data integrity assessment that identifies non-existent or artificially generated data instances by analyzing statistical anomalies, pattern irregularities, and metadata inconsistencies indicative of intentional falsification.

9

Publications

620

Citations

28

Authors

20

Institutions

Publications per year

2017–2026

2

Authors

28

  1. IR
    Ian Roberts

    London School of Hygiene & Tropical Medicine, United Kingdom

    1 publications · 137 citations

    1

    h-index

  2. TM
    Tom Marshall

    University of Birmingham, United Kingdom

    1 publications · 137 citations

    1

    h-index

  3. JM
    Jelte M. Wicherts

    Tilburg University, Netherlands

    1 publications · 13 citations

    1

    h-index

  4. MC
    Martin Carlsson

    Pfizer (United States), United States

    1 publications · 17 citations

    1

    h-index

  5. SA
    Sanaa Al-Marzouki

    Université de Caen Normandie, France

    1 publications · 137 citations

    1

    h-index

1–5 of 28

Venues

  1. Quality Assurance in Education

    1 publications · 25 citations

    1

    h-index

  2. Methodology

    1 publications · 30 citations

    1

    h-index

  3. Research Ideas and Outcomes

    RIO · 1 publications · 13 citations

    1

    h-index

  4. Behavior Research Methods

    BRM · 1 publications · 17 citations

    1

    h-index

  5. BMJ

    1 publications · 137 citations

    1

    h-index

1–5