Data Quality Standards

Data Quality Standards is a formal specification within the domain of administrative health data that establishes the criteria and requirements for ensuring the accuracy, completeness, consistency, timeliness, and reliability of health data across organizational and systemic contexts.

165

Publications

10.1K

Citations

701

Authors

350

Institutions

Publications per year

2017–2026

63

Authors

701

  1. PR
    Patrick Ryan

    Janssen (United States), United States

    5 publications · 797 citations

    5

    h-index

  2. MG
    Michael G. Kahn

    University of Colorado Denver, United States

    5 publications · 812 citations

    5

    h-index

  3. MP
    Mario Piattini

    University of Castilla-La Mancha, Spain

    5 publications · 135 citations

    5

    h-index

  4. IC
    Ismael Caballero

    University of Castilla-La Mancha, Spain

    5 publications · 135 citations

    5

    h-index

  5. HZ
    Hongwei Zhu

    Massachusetts Institute of Technology, United States

    4 publications · 136 citations

    4

    h-index

1–5 of 701

Venues

  1. 5

    h-index

  2. The International Journal of Life Cycle Assessment

    LCA · 4 publications · 146 citations

    4

    h-index

  3. PubMed

    Repository · 4 publications · 95 citations

    4

    h-index

  4. Applied Clinical Informatics

    ACI · 3 publications · 112 citations

    3

    h-index

  5. SSRN Electronic Journal

    Repository · 3 publications · 52 citations

    3

    h-index

1–5