Workforce Data Quality

Workforce Data Quality is a measurement construct that evaluates the accuracy, completeness, consistency, timeliness, and reliability of workforce-related data to ensure its fitness for use in organizational decision-making and compliance.

23

Publications

1.1K

Citations

81

Authors

57

Institutions

Publications per year

2017–2026

10

Authors

81

  1. JM
    Jacqueline Merrill

    Columbia University, United States

    2 publications · 78 citations

    2

    h-index

  2. AJ
    Angela J. Beck

    University of Michigan, United States

    2 publications · 78 citations

    2

    h-index

  3. ML
    Matthew L. Boulton

    University of Michigan, United States

    2 publications · 78 citations

    2

    h-index

  4. FC
    Fátima Coronado

    Centers for Disease Control and Prevention, United States

    2 publications · 78 citations

    2

    h-index

  5. VS
    V. Sridharan

    Clemson University, United States

    1 publications · 31 citations

    1

    h-index

1–5 of 81

Venues

  1. Journal for Labour Market Research

    ZAF · 1 publications · 156 citations

    1

    h-index

  2. 1

    h-index

  3. American Journal of Preventive Medicine

    1 publications · 45 citations

    1

    h-index

  4. IEEE Engineering Management Review

    IEMRAP · 1 publications · 24 citations

    1

    h-index

  5. Computers in Human Behavior

    1 publications · 58 citations

    1

    h-index

1–5