Concepedia

Data Accuracy Visualization

Data Accuracy Visualization is a visual representation method that specifically encodes the degree to which data values conform to ground truth or reference standards, distinguishing itself from other data quality visualizations by focusing on correctness and validity of data content.

1

Publications

14

Citations

10

Authors

4

Institutions

Publications per year

2017–2026

0

Parents

Publications

1

1–1 of 1

Authors

10

  1. EK
    Erin Kennedy

    Centers for Disease Control and Prevention, United States

    1 publications · 14 citations

    1

    h-index

  2. MG
    Michael Greene

    University of Colorado Denver, United States

    1 publications · 14 citations

    1

    h-index

  3. RC
    Regina Cox

    Deloitte (United States), United States

    1 publications · 14 citations

    1

    h-index

  4. WW
    Warren W. Williams

    National Center for Immunization and Respiratory Diseases, United States

    1 publications · 14 citations

    1

    h-index

  5. PK
    Patrick Koeppl

    Deloitte (United States), United States

    1 publications · 14 citations

    1

    h-index

1–5 of 10

Institutions

4

  1. Deloitte (United States)

    New York, United States

    1 h-index

    6 publications

    84 citations

  2. Claremont Graduate University

    Claremont, United States

    1 h-index

    1 publications

    14 citations

  3. Centers for Disease Control and Prevention

    Atlanta, United States

    1 h-index

    3 publications

    42 citations

  4. National Center for Immunization and Respiratory Diseases

    Atlanta, United States

    1 h-index

    3 publications

    42 citations

1–4 of 4

Venues

  1. Vaccine

    1 publications · 14 citations

    1

    h-index

1–1