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.