Reference Data Modeling

Reference Data Modeling is a systematic method for defining and structuring standardized data elements and their relationships within a domain to ensure consistency, interoperability, and reuse across information systems.

74

Publications

4.3K

Citations

236

Authors

109

Institutions

Publications per year

2017–2026

31

Authors

236

  1. KS
    Karen Scarfone

    National Institute of Standards and Technology, United States

    3 publications · 1.5K citations

    3

    h-index

  2. PP
    Paolo Papotti

    EURECOM, France

    2 publications · 35 citations

    2

    h-index

  3. MF
    Michael Fagan

    University of Connecticut, United States

    2 publications · 26 citations

    2

    h-index

  4. AF
    Alex F. Roche

    Wright State University, United States

    2 publications · 49 citations

    2

    h-index

  5. SG
    Shumei Guo

    Wright State University, United States

    2 publications · 49 citations

    2

    h-index

1–5 of 236

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 33 citations

    2

    h-index

  2. Osteoporosis International

    2 publications · 45 citations

    2

    h-index

  3. PubMed

    Repository · 2 publications · 28 citations

    2

    h-index

  4. American Journal of Human Biology

    2 publications · 49 citations

    2

    h-index

  5. Diagnostics

    1 publications · 18 citations

    1

    h-index

1–5