Data Science at the National Eye Institute: ODSHI Initiatives and the Culture of Data Sharing

Join the National Eye Institute's Office of Data Science and Health Informatics (ODSHI) at their NEI Informatics & Data-Driven Insights: Seminars & Dialogue Opportunities for Vision Health series launch! Michael Chiang, the NEI Director, and Kerry Goetz, Associate Director of ODSHI, will be introducing the series and discussing the NEI's perspective on the intersection of data science and vision research. The event will offer opportunities for dialogue with the speakers, and ask for audience input on future topics of interest.

Speakers:

Michael F. Chiang, MD: Michael F. Chiang is Director of the National Eye Institute. By background, he is a pediatric ophthalmologist and is also board-certified in clinical informatics. His research focuses on the interface of biomedical informatics and clinical ophthalmology in areas such as retinopathy of prematurity (ROP), telehealth, artificial intelligence, electronic health records, data science, and genotype-phenotype correlation. He is an Adjunct Investigator at the National Library of Medicine, and his group has published over 250 peer-reviewed papers and developed an assistive artificial intelligence system for ROP that received Breakthrough Status from the U.S. Food and Drug Administration.

Kerry Goetz, MS: Kerry Goetz is the Associate Director for the National Eye Institute’s Office of Data Science and Health Informatics. The office is responsible for advancing data management and sharing strategies to make NEI data FAIR (Fully AI-Ready & Findable, Accessible, Interoperable, and Reusable). For more than a decade, Ms. Goetz has been leading the eyeGENE Program, a conrolled access resource with data, samples, and a patient registry for rare eye conditions. She has implemented the sharing of several other clinical trial datasets through NEI BRICS, part of the NEI Data Commons. She has also been entrenched in standards development for more than 15 years. Ms. Goetz co-leads the Eye Care and Vision Research Observational Health Data Sciences and Informatics Working Group, is a member of the American Academy of Ophthalmology Standards Working Group, and also works to align imaging standards and health data to enable groundbreaking research.

Accommodations

If you are an individual with a disability who needs reasonable accommodations to participate in this event, please send an email with your request to the Office of Data Science and Health Informatics at neiodshi@nih.gov at least 3 days prior to the event.