July Data Sharing and Reuse Seminar

Zsuzsanna Hollander, Ph.D., will present "Fostering Collaboration with Health Metadata Commons" from 12:00 p.m.–1:00 p.m. EDT.

About the Seminar

In this presentation, Dr. Hollander will present the Health Omics Metadata Commons, which serves as a free centralized hub for storing and disseminating metadata pertaining to human biological samples and omics research data. Its primary objective is to foster the reuse of data, thereby expediting scientific breakthroughs and driving advancements in personalized medicine. By consolidating metadata from various biobanks and omics research projects, the commons facilitates seamless data discovery, promotes interoperability, and encourages collaboration across diverse health research domains.

About the Speaker

Zsuzsanna Hollander, Ph.D., PMP. Director, Data Science, Genome British Columbia, Vancouver, Canada

Dr. Zsuzsanna Hollander is a passionate leader driven to advance human health and wellness by maximizing the value derived from data through data management and data science. She is a data expert with 20 years of experience in translational health research, data mining and management, and database development. Dr. Hollander co-authored >50 scientific papers and co-invented 2 patents in the genomics and molecular diagnostics fields. 

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 Allison Hurst 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 examples 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.