Data Consistency Assessment

Data Consistency Assessment is a systematic methodological framework within vital statistics data integration that evaluates the uniformity, coherence, and reliability of data elements across multiple sources by identifying and resolving discrepancies in syntax, semantics, and temporal or spatial alignment.

32

Publications

1K

Citations

139

Authors

90

Institutions

Publications per year

2017–2026

13

Authors

139

  1. JD
    Jacob Dodson

    Eglin Air Force Base, United States

    2 publications · 89 citations

    2

    h-index

  2. YC
    Yuanchang Chen

    University of Massachusetts Lowell, United States

    2 publications · 89 citations

    2

    h-index

  3. PA
    Peter Avitabile

    University of Massachusetts Lowell, United States

    2 publications · 89 citations

    2

    h-index

  4. DJ
    Debra J. Carlson

    University of New England, Australia

    1 publications · 10 citations

    1

    h-index

  5. DL
    Daniel L. Oberski

    Utrecht University, Netherlands

    1 publications · 13 citations

    1

    h-index

1–5 of 139

Venues

  1. Mechanical Systems and Signal Processing

    MSSP · 2 publications · 89 citations

    2

    h-index

  2. Knowledge-Based Systems

    1 publications · 30 citations

    1

    h-index

  3. Biomedical Physics & Engineering Express

    1 publications · 10 citations

    1

    h-index

  4. BMC Medical Research Methodology

    1 publications · 32 citations

    1

    h-index

  5. Journal of Medical Systems

    1 publications · 49 citations

    1

    h-index

1–5