January Data Sharing and Reuse Seminar

Dr. Michelle Hribar will present Common Data Models for Ophthalmology Research Collaboration on January 12, 2024, at 12 p.m.

About the Seminar

Large diverse datasets are necessary for building accurate and unbiased AI/ML models in research for vision and eye health, but challenges in data standardization have become a barrier for creating these datasets. Large NIH data generation projects such as All of Us, N3C, and Bridge2AI include minimal ophthalmic clinical or imaging data since these data elements are not yet a part of their underlying common data model (CDM): the OMOP CDM. To address this gap, the Eye Care and Vision Research workgroup was created within the Observational Health Data Science and Informatics (OHDSI) community. As part of her NIH DATA Scholar work, Dr. Hribar co-leads this workgroup. In this talk, she will discuss the standardization efforts and an example research use case that our group has completed as well as the vision for future data models and infrastructure to support research in eye care and vision science. 

About the Speaker

Dr. Hribar is the Assistant Professor of Medical Informatics and Dr. Clinical Epidemiology at Oregon Health & Science University, School of Medicine. 

About the Seminar Series

The seminar is open to the public and registration is required each month. Individuals who need interpreting services and/or other reasonable accommodations to participate in this event should contact Janiya Peters at 301-670-4990. Requests should be made at least five days in advance of the event.

The National Institutes of Health (NIH) Office of Data Science Strategy hosts this seminar series to highlight exemplars of data sharing and reuse on the second Friday of each month at noon ET. The monthly series highlights researchers who have taken existing data and found clever ways to reuse the data or generate new findings. A different NIH institute or center will also share its data science activities each month.