Data Entry Error Reduction

Data Entry Error Reduction is a methodological construct in data management that systematically minimizes inaccuracies in recorded data by identifying, preventing, and correcting deviations during the data entry process.

26

Publications

1.1K

Citations

84

Authors

43

Institutions

Publications per year

2017–2026

4

Parents

Authors

84

  1. KC
    Kuang Chen

    University of California, Berkeley, United States

    4 publications · 152 citations

    4

    h-index

  2. TS
    Tapan S. Parikh

    University of California, Berkeley, United States

    4 publications · 152 citations

    4

    h-index

  3. JM
    Joseph M. Hellerstein

    University of California, Berkeley, United States

    3 publications · 103 citations

    3

    h-index

  4. KA
    Kimberly A. Barchard

    University of Nevada, Las Vegas, United States

    2 publications · 179 citations

    2

    h-index

  5. LA
    Larry A. Pace

    University of Nevada, Las Vegas, United States

    2 publications · 179 citations

    2

    h-index

1–5 of 84

Venues

  1. Controlled Clinical Trials

    2 publications · 78 citations

    2

    h-index

  2. Computers and Biomedical Research

    2 publications · 57 citations

    2

    h-index

  3. The American Statistician

    1 publications · 141 citations

    1

    h-index

  4. International Journal of Services and Standards

    IJSS · 1 publications · 13 citations

    1

    h-index

  5. Computers in Human Behavior

    1 publications · 166 citations

    1

    h-index

1–5