NIH Data Sharing and Reuse Seminar Series

About the Series

The National Institutes of Health (NIH) Office of Data Science Strategy hosts a 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 (IC) will also share its data science activities each month.

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 Erin Walker at 301-827-9655 or the Federal Relay Service at 800-877-8339. Requests should be made at least three days in advance of the event. A recording will be available on this page after each event.

Upcoming Speakers

August 13: Arjun Krishnan, Ph.D., Michigan State University, "Democratize Data-Driven Biology by Tackling Incomplete Data, Unstructured Metadata, and Hidden Curricula"  Register

Past Speakers

Date

Speaker/Affiliation

Topic

Funding IC

Feb. 12, 2021
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Russ Poldrack, Ph.D., Stanford University

“An Open Ecosystem for Data Sharing in Human Neuroscience"

National Institute on Drug Abuse

Mar. 12, 2021
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Alisa Manning, Ph.D., Massachussetts General Hospital "Opportunities for NIH Cloud Interoperability Approaches to Improve Outcomes of Pediatric Diseases" National Heart, Lung, and Blood Institute
Apr. 9, 2021
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Yang Chai, D.D.S, Ph.D., University of Southern California "FaceBase--A Data Sharing Resource to Support Dental and Craniofacial Research"

National Institute of Dental and Craniofacial Research

May 14, 2021
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Deanne M. Taylor, Ph.D., The Children's Hospital of Philadelphia Research Institute  "Integrating Common Fund Program Datasets for Feature Selection and Machine Learning"  NIH Common Fund

June 11, 2021
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Lara Mangravite, Ph.D., Sage Bionetworks “Diversifying the AD Target Pipeline: Data and Tool Sharing to Catalyze the Study of Understudied Drug Targets” National Institute on Aging

July 9, 2021
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Mark A. Musen, M.D., Ph.D., Stanford Center for Biomedical Informatics Research "There’s No Easy Way Out: Making Data FAIR Requires Better Metadata. Information Technology Can Help." National Library of Medicine

This page last reviewed on July 29, 2021