ncibtep@nih.gov

Bioinformatics Training and Education Program

Enhancing Childhood Cancer Data Sharing and Utility

Enhancing Childhood Cancer Data Sharing and Utility

 When: Sep. 29th, 2025 - Sep. 30th, 2025 8:30 am - 5:00 pm

Learning Level: Any

To Know

Where:
FAES Classrooms and Terrace (Building 10, Bethesda)
Organizer:
NCI Office of Data Sharing
Presented By:
Emily Boja (NCI), Jaime M. Guidry Auvil, Ph.D. (CBIIT)

About this Class

Please use this link to access overview, registration, and other information:

https://events.cancer.gov/nci/ods-data-jamboree

Childhood cancer is a rare disease with ~15,000 cases diagnosed annually in the United States in individuals younger than 20 years. Despite extensive efforts made over the last two decade by programs such as National Institutes of Health (NIH)'s Gabriela Miller Kids First Programand NCI's Therapeutically Applicable Research to Generate Effective Treatments (TARGET) and Childhood Cancer Data Initiative (CCDI) to generate, collect and share the data, pediatric and AYA cancer datasets remain underutilized. Finding and accessing datasets, building specific pediatric cancer cohorts, and aggregating or linking datasets from various data systems still present tremendous challenges for the wider community. To overcome these barriers and raise awareness of existing childhood cancer data resources to inform better diagnosis and treatment options for children, this data jamboree is to bring together researchers and citizen scientists with diverse expertise and experience to collaborate and explore scientific or other questions using childhood cancer data. The goals of the jamboree include:

  • Promoting access and reuse of pediatric cancer data and raising awareness about the availability of these datasets.
  • Promoting interdisciplinary collaborations to expand the size, technical, and scientific diversity of the pediatric cancer research community.
  • Promoting development of new methods and tools for data analysis.
  • Identifying gaps and limitations of existing data and resources including barriers to real time access to the data.