Data Quality

Data Quality is a foundational attribute of data that refers to the degree to which data meets established criteria of accuracy, completeness, consistency, timeliness, and validity within a given context, distinguishing it from related data management concerns by focusing specifically on the fitness of data for intended uses in research, operations, and decision-making across domains such as health information systems, spatial data infrastructure, and business intelligence.

5.2K

Publications

356K

Citations

18.5K

Authors

4.4K

Institutions

Publications per year

2017–2026

1.9K

Authors

18.5K

  1. MP
    Mario Piattini

    University of Castilla-La Mancha, Spain

    24 publications · 863 citations

    18

    h-index

  2. FN
    Felix Naumann

    Hasso Plattner Institute, Germany

    22 publications · 1.2K citations

    17

    h-index

  3. IC
    Ismael Caballero

    University of Castilla-La Mancha, Spain

    21 publications · 719 citations

    16

    h-index

  4. DS
    Divesh Srivastava

    AT&T (United States), United States

    22 publications · 1.9K citations

    16

    h-index

  5. BO
    Boris Otto

    TU Dortmund University, Germany

    14 publications · 802 citations

    14

    h-index

1–5 of 18.5K

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 40 publications · 5.5K citations

    33

    h-index

  2. Journal of Data and Information Quality

    JDIQ · 58 publications · 2.9K citations

    28

    h-index

  3. PubMed

    Repository · 83 publications · 2.5K citations

    27

    h-index

  4. Decision Support Systems

    26 publications · 2K citations

    23

    h-index

  5. BMC Medical Informatics and Decision Making

    24 publications · 1.3K citations

    22

    h-index

1–5