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Open Source Ontologies to Power an Open Science Community

Legacy EOSS

2022

Proposal Summary

To develop open medical ontologies and analytics that enable large-scale generation of real-world evidence on disease and the effects of medical interventions across the world’s electronic health data.


Observational Health Data Sciences and Informatics

Observational Health Data Sciences and Informatics (OHDSI) is multi-stakeholder, interdisciplinary, open science collaborative to bring out the value of health data through large-scale analytics. OHDSI collaborates in many aspects of the journey from data to evidence, including open community data standards, open source software development, open methodological research, and open network clinical research. This grant will support the OHDSI central coordinating center by providing software maintenance, growth, development, and community engagement for its open tools for data standardization.

Project Team

George Hripcsak Github

Columbia University