News

Keep up with the latest news from the NCI Center for Biomedical Informatics and Information Technology (CBIIT) and the data science communities.

If you’re working with adverse event cancer and immune-related data, USCDI+ program staff need to hear from you! See how you can give your feedback on the new USCDI+Cancer draft data set.

Construction of the Advanced Research Projects Agency for Health’s (ARPA-H’s) BDF Toolbox program is well underway. ARPA-H has awarded contracts to nearly 20 teams—representing academia, nonprofits, and commercial organizations—who are tackling a broad range of projects, many of which are directly related to cancer research.

Learn about the Childhood Cancer Data Initiative’s national strategy for studying children, adolescents, and young adults with very rare cancers. The Pediatric, Adolescent, and Young Adult Rare Cancer Initiative supplies researchers (like you) the data requirements for collecting data from study participants.

If you’re working with NIH genomic data, you’ll need to be aware of some new security requirements for data management and access that take effect on January 25, 2025. Learn more about how this could impact your work.

These APIs aim to enhance data accessibility and integration for childhood cancer research, leading to advancements in treatments for pediatric cancer patients.

Are you a cancer biology investigator? NCI wants to hear about your experiences developing and implementing data management and sharing plans. Share your feedback by July 26, 2024.

NIH is soliciting comments on a new draft of the Public Access Policy which will remove the 12-month embargo period for NIH-funded manuscripts and data.

NCI’s Childhood Cancer Data Initiative seeks your feedback for the Pediatric Cancer Core Common Data Elements, a newly created resource which facilitates data integration and analysis.

Discover a new AI-driven tool that uses single-cell RNA data to help predict patient responses to cancer treatments.

NCI staff contributed to an October 2023 publication that highlights how the Global Alliance for Genomics and Health (GA4GH) coalition is creating a more equitable, diverse, and inclusive environment within its standards and members. This is to prevent continuing biases in genomics data collection methods and the genomics workforce. By taking actions to address such changes, the GA4GH coalition hopes to inspire others to do the same and make genomic data more representative of the global community.