Ontology-based Data Standards

Ontology-Based Data Standards is a formal system of data specification that integrates controlled, machine-readable ontologies to define, structure, and standardize epidemiologic data elements, their relationships, and permissible values, thereby enabling semantic interoperability across heterogeneous health data sources.

60

Publications

1.9K

Citations

426

Authors

245

Institutions

Publications per year

2017–2026

29

Authors

426

  1. CL
    Claudio Leporelli

    Sapienza University of Rome, Italy

    2 publications · 128 citations

    2

    h-index

  2. PS
    Pablo Serrano Balazote

    Hospital Universitario 12 De Octubre, Spain

    2 publications · 44 citations

    2

    h-index

  3. AB
    Andrea Bonaccorsi

    University of Pisa, Italy

    2 publications · 128 citations

    2

    h-index

  4. WE
    Windpouire Esther Dzale Yeumo

    Université de Montpellier, France

    2 publications · 38 citations

    2

    h-index

  5. SB
    Sherif Barakat

    Mansoura University, Egypt

    2 publications · 34 citations

    2

    h-index

1–5 of 426

Venues

  1. Journal of Biomedical Informatics

    3 publications · 61 citations

    3

    h-index

  2. Scientometrics

    2 publications · 128 citations

    2

    h-index

  3. IEEE Access

    2 publications · 30 citations

    2

    h-index

  4. JMIR Medical Informatics

    JMI · 2 publications · 47 citations

    2

    h-index

  5. International Journal of Medical Informatics

    2 publications · 76 citations

    2

    h-index

1–5