Data Auditing

Data Auditing is a systematic process within data integrity research that involves the examination, validation, and verification of data quality, consistency, and compliance to detect anomalies, errors, or unauthorized modifications throughout its lifecycle.

151

Publications

10.1K

Citations

428

Authors

235

Institutions

Publications per year

2017–2026

81

Authors

428

  1. MA
    Miklos A. Vasarhelyi

    Rutgers, The State University of New Jersey, United States

    8 publications · 424 citations

    8

    h-index

  2. AE
    Adil E. Shamoo

    University of Maryland, Baltimore, United States

    5 publications · 163 citations

    5

    h-index

  3. JH
    Jiankun Hu

    UNSW Sydney, Australia

    3 publications · 483 citations

    3

    h-index

  4. CY
    Chi Yang

    University of Technology Sydney, Australia

    3 publications · 318 citations

    3

    h-index

  5. KR
    Kim‐Kwang Raymond Choo

    The University of Texas at San Antonio, United States

    3 publications · 349 citations

    3

    h-index

1–5 of 428

Venues

  1. Accountability in Research

    8 publications · 205 citations

    8

    h-index

  2. Accounting Horizons

    7 publications · 1.3K citations

    7

    h-index

  3. Journal of Information Systems

    3 publications · 153 citations

    3

    h-index

  4. IEEE Access

    3 publications · 70 citations

    3

    h-index

  5. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 3 publications · 1.8K citations

    3

    h-index

1–5