ncibtep@nih.gov

Bioinformatics Training and Education Program

March Data Sharing and Reuse Seminar

March Data Sharing and Reuse Seminar

 When: Mar. 10th, 2023 12:00 pm - 1:00 pm

Learning Level: Any

This class has ended.
To Know
  • Where: Online Webinar
  • Organized By: NIH Office of Data Science Strategy (ODSS)
  • Presented By: Jakob Seidlitz, Melissa Haendel (CU Anschutz)
  • Files

About this Class

Dr. Melissa Haendel and Dr. Jakob Seidlitz will present "2022 DataWorks! Grand Prize Winners: Innovations in Data Sharing and Reuse" at the monthly Data Sharing and Reuse Seminar on March 10, 2023 at 12 p.m. EDT.

Dr. Haendel will discuss how academic medical centers, safety net hospitals, and community clinics across the country worked to pool and harmonize their Electronic Health Record Data to combat the  COVID19 pandemic. The National Covid Cohort Collaborative (N3C) is now the largest publicly available, national, HIPAA-limited dataset in US History. She will illustrate how a unique public-private-government governance partnership helped realize collaborative analytics at an unprecedented scale to address the infectious disease crises. She will also share how successful interdisciplinary team science and big data approaches can be used to improve scientific discovery, impact policy, treatment guidelines, and national decisions. The centralized data approach also enhanced data consistency and interoperability across health systems and thereby revealed key patterns in COVID-19 risk factors, treatment, disparities, and outcomes.

Dr. Seidlitz will focus on how hundreds of publicly accessible neuroimaging datasets, comprising over 100,000 individuals, were combined to create fully life-spanning “brain charts” of human brain development and aging. He will describe the experience of helping to spearhead this collaborative grass-roots project on the heels of the global pandemic, the emergent capabilities of these comprehensive models of the human brain, as well as obstacles and opportunities for clinical translation.