Data Validation

Data Validation is the systematic process of verifying the accuracy, completeness, and reliability of data against predefined criteria or rules to ensure its conformity with domain-specific standards and integrity requirements within a given data management framework.

602

Publications

36K

Citations

1.8K

Authors

696

Institutions

Publications per year

2017–2026

168

Authors

1.8K

  1. WL
    William L. Oberkampf

    Sandia National Laboratories, United States

    5 publications · 1.2K citations

    5

    h-index

  2. JE
    José Emilio Labra Gayo

    Universidad de Oviedo, Spain

    4 publications · 224 citations

    4

    h-index

  3. FN
    Felix Naumann

    Hasso Plattner Institute, Germany

    4 publications · 321 citations

    4

    h-index

  4. EP
    Eric Prud’hommeaux

    World Wide Web Consortium, United States

    4 publications · 239 citations

    4

    h-index

  5. DL
    Dustin Lange

    Hasso Plattner Institute, Germany

    4 publications · 274 citations

    4

    h-index

1–5 of 1.8K

Venues

  1. arXiv (Cornell University)

    Repository · 7 publications · 288 citations

    7

    h-index

  2. Expert Systems with Applications

    6 publications · 255 citations

    6

    h-index

  3. Reliability Engineering & System Safety

    5 publications · 272 citations

    5

    h-index

  4. IFAC Proceedings Volumes

    4 publications · 72 citations

    4

    h-index

  5. Drug Information Journal

    DIA · 4 publications · 70 citations

    4

    h-index

1–5