About this Class

Register now at https://nih.webex.com/nih/onstage/g.php?MTID=e8b0c0c0e7a6b9c4d221051fb038e4e59. This seminar is open to the public, so please feel free to share broadly. More Info: Alisa Manning, Ph.D., will present the March Data Sharing and Reuse Seminar on "Opportunities for NIH Cloud Interoperability Approaches to Improve Outcomes of Pediatric Diseases." The Pediatric Cardiac Genetics Consortium Study is an observational study of participants with congenital heart defects. The Framingham Heart Study is a longitudinal population cohort of participants and their offspring who had not yet developed overt symptoms of cardiovascular disease or suffered a heart attack or stroke and who have been followed over many years. Whole genome sequence data has been generated in these cohorts by multiple NIH programs, including the Gabriella Miller Kids First Pediatric Research Program and the NHLBI’s Trans-Omics for Precision Medicine Program. Dr. Manning will present a pilot analysis demonstrating how researchers can gain access to data sets on multiple NIH Cloud Platforms and perform an analysis with data from different NIH programs. She will describe interoperability features that are being championed by the NIH Cloud Platform Interoperability Effort and highlight important data governance lessons encountered along the way. Dr. Manning is Assistant Investigator, Massachusetts General Hospital; Associated Scientist, Broad Institute; and Instructor, Harvard Medical School. 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. Thanks, Erin Walker, MBA Communications Specialist Office of Data Science Strategy Division of Program Coordination, Planning, and Strategic Initiatives (DPCPSI) Office of the Director, National Institutes of Health Bldg. 31, B1C12 301.827.9655 erin.walker@nih.gov https://datascience.nih.gov Follow us on Twitter @NIHDataScience and join the conversation at #NIHData