Case study led by leading global institutions in the respective fields: Population Health

Q2 2024
  • Landscape, Monitoring and Engagement
    • Widening to public and private sectors & going global
  • Result description

    This case study provides recommendations related to Population Health. It will improve the interoperation of OMOP with other standards to enable machine-actionable descriptions of data structure and provenance (e.g., DDI-CDI, PROV-O, SDTL); the composition of measurements focused on the objects of research (e.g., I-ADOPT); record linkage modeling for creating and evaluating bridges that connect domains, vocabularies (e.g., SKOS); and data discovery (e.g., Schema.org, DCAT). This suite of standards forms the basis of an ‘AI-Ready’ description of data suitable for use across domain and institutional boundaries.

    Problem addressed

    The recommendations contained in the CDIF will consider standards in particular domains being used in EOSC, as well as in other regions of the world.

    Who can use the result

    All scientific disciplines for which the standards are relevant.

    Timeline

    The recommendations are expected by the end of the project in mid-2024. A preliminary 12-month progress review was successfully completed by the project in June 2023.

    How to use the result

    The result and relevant reports will be available on project website and WorldFAIR Zenodo community