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Research

The Observational Medical Outcomes Partnership is conducting a series of research studies to meet the specific aims of the initiative. Website subscribers can access information about the specific activities below. If you already have an account, please login. Individuals and organizations interested in accessing the OMOP content may subscribe by requesting an account.

  • Common Data Model, ETL Process, & Terminologies
  • Data Assessments
  • Data Quality
  • Evaluating the Performance of Identification Methods
  • Health Outcomes of Interest Library
  • Implementing HOI and DOI Eras
  • Methods - Observational Analysis Methods & Methods Library
  • NATHAN - Utility of Natural History Information
  • OSCAR - Observational Source Characteristics Analysis Report (OSCAR) Design Specification and Feasibility Assessment
  • Simulated Data to Evaluate Methods Performance (Updated)
  • Technology Infrastructure
  • White Papers
  • OMOP Common Data Model Version 3.0 - Open Comment Period
Common Data Model, ETL Process, & Terminologies ›
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