Data Auditability

Data Auditability is a data governance construct that enables the systematic tracking, verification, and documentation of data lineage, transformations, access, and control decisions throughout its lifecycle to ensure accountability, regulatory compliance, and trustworthiness in data management processes.

37

Publications

5.8K

Citations

128

Authors

50

Institutions

Publications per year

2017–2026

13

Authors

128

  1. CW
    Cong Wang

    City University of Hong Kong, Hong Kong SAR China

    3 publications · 3.3K citations

    3

    h-index

  2. WL
    Wenjing Lou

    Virginia Tech, United States

    3 publications · 3.3K citations

    3

    h-index

  3. KR
    Kui Ren

    University at Buffalo, State University of New York, United States

    3 publications · 3.3K citations

    3

    h-index

  4. MA
    Miklos A. Vasarhelyi

    Rutgers, The State University of New Jersey, United States

    3 publications · 207 citations

    3

    h-index

  5. SC
    Shiping Chen

    Commonwealth Scientific and Industrial Research Organisation, Australia

    3 publications · 401 citations

    3

    h-index

1–5 of 128

Venues

  1. Accounting Horizons

    4 publications · 826 citations

    4

    h-index

  2. Accountability in Research

    1 publications · 20 citations

    1

    h-index

  3. Soft Computing

    1 publications · 26 citations

    1

    h-index

  4. Journal of Empirical Research on Human Research Ethics

    JERHRE · 1 publications · 43 citations

    1

    h-index

  5. BMJ

    1 publications · 13 citations

    1

    h-index

1–5