Data Testing

Data Testing is a systematic method within the domain of data observability that verifies the correctness, consistency, and reliability of data across pipelines by applying predefined validation rules, constraints, or expectations to detect anomalies, errors, or deviations at various stages of the data lifecycle.

53

Publications

2.1K

Citations

184

Authors

80

Institutions

Publications per year

2017–2026

21

Authors

184

  1. BR
    B. Roy Frieden

    University of Arizona, United States

    2 publications · 58 citations

    2

    h-index

  2. MG
    Matteo Golfarelli

    University of Bologna, Italy

    2 publications · 59 citations

    2

    h-index

  3. SR
    Stefano Rizzi

    University of Bologna, Italy

    2 publications · 59 citations

    2

    h-index

  4. AM
    Alexandra Meliou

    University of Massachusetts Amherst, United States

    2 publications · 72 citations

    2

    h-index

  5. HM
    Harry M. Sneed

    Software (Germany), Germany

    2 publications · 25 citations

    2

    h-index

1–5 of 184

Venues

  1. Physics Procedia

    1 publications · 16 citations

    1

    h-index

  2. Information Systems

    1 publications · 11 citations

    1

    h-index

  3. Journal of Physics Conference Series

    1 publications · 19 citations

    1

    h-index

  4. Physics Reports

    1 publications · 424 citations

    1

    h-index

  5. 1

    h-index

1–5