Data Quality Documentation

Data Quality Documentation is a formal academic artifact that systematically records the methods, criteria, and assessments employed in evaluating the quality of data, distinguishing it from other data management practices by its primary focus on the transparency, traceability, and reproducibility of data quality evaluation processes.

24

Publications

954

Citations

102

Authors

60

Institutions

Publications per year

2017–2026

10

Authors

102

  1. MM
    Milagros Miceli

    Technische Universität Berlin, Germany

    2 publications · 139 citations

    2

    h-index

  2. PC
    Patricia C. Smith

    Bowling Green State University, United States

    2 publications · 37 citations

    2

    h-index

  3. TY
    Tianling Yang

    Technische Universität Berlin, Germany

    2 publications · 139 citations

    2

    h-index

  4. SM
    Stuart Madnick

    Massachusetts Institute of Technology, United States

    2 publications · 234 citations

    2

    h-index

  5. JP
    Julian Posada

    Yale University, United States

    2 publications · 139 citations

    2

    h-index

1–5 of 102

Venues

  1. Data Science Journal

    2 publications · 174 citations

    2

    h-index

  2. Journal of Applied Psychology

    2 publications · 37 citations

    2

    h-index

  3. OpenGrey (Institut de l'Information Scientifique et Technique)

    Repository · 1 publications · 15 citations

    1

    h-index

  4. Library Review

    1 publications · 52 citations

    1

    h-index

  5. RePEc: Research Papers in Economics

    Repository · 1 publications · 28 citations

    1

    h-index

1–5