Data Quality Validation

Data Quality Validation is a systematic process that belongs to the class of data quality management activities, distinguished by its specific focus on assessing the accuracy, completeness, consistency, and reliability of data against predefined quality standards or constraints to determine its suitability for intended analytical or operational purposes.

221

Publications

20.1K

Citations

960

Authors

446

Institutions

Publications per year

2017–2026

86

Authors

960

  1. JG
    Jerry Gao

    San Jose State University, United States

    3 publications · 125 citations

    3

    h-index

  2. CT
    Chuanqi Tao

    Nanjing University, China

    3 publications · 125 citations

    3

    h-index

  3. PB
    Peter Burt

    University of Greenwich, United Kingdom

    2 publications · 51 citations

    2

    h-index

  4. RM
    Raj Mitra

    Stanford University, United States

    2 publications · 780 citations

    2

    h-index

  5. MG
    Matteo Gentilucci

    Università di Camerino, Italy

    2 publications · 51 citations

    2

    h-index

1–5 of 960

Venues

  1. PubMed

    Repository · 6 publications · 259 citations

    6

    h-index

  2. Water Science & Technology

    4 publications · 97 citations

    4

    h-index

  3. Remote Sensing

    3 publications · 116 citations

    3

    h-index

  4. 3

    h-index

  5. Bulletin of the American Meteorological Society

    BAMS · 2 publications · 278 citations

    2

    h-index

1–5