Data Clarification Processes

Data Clarification Processes is a systematic method within Query Management that identifies, resolves, and documents ambiguities, inconsistencies, or gaps in data requirements through structured interactions between stakeholders to ensure precise and unambiguous data interpretations.

6

Publications

269

Citations

31

Authors

28

Institutions

Publications per year

2017–2026

3

Authors

31

  1. FS
    Frederick S. vom Saal

    University of Missouri, United States

    1 publications · 60 citations

    1

    h-index

  2. SM
    Scott M. Belcher

    North Carolina State University, United States

    1 publications · 60 citations

    1

    h-index

  3. JJ
    Jerrold J. Heindel

    National Institute of Environmental Health Sciences, United States

    1 publications · 60 citations

    1

    h-index

  4. TG
    Teklehaimanot Gereziher Haile

    Institute for Health Metrics and Evaluation, United States

    1 publications · 17 citations

    1

    h-index

  5. HP
    Henri Prade

    Université Toulouse III - Paul Sabatier, France

    1 publications · 16 citations

    1

    h-index

1–5 of 31

Venues

  1. 1

    h-index

  2. Reproductive Toxicology

    1 publications · 60 citations

    1

    h-index

  3. Mathematical Thinking and Learning

    1 publications · 54 citations

    1

    h-index

  4. 1

    h-index

  5. International Journal of Endocrinology

    IJE · 1 publications · 17 citations

    1

    h-index

1–5