News

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

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.

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.

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.

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.

See the digital health technologies informed consent resource that your Request for Information responses helped create!

In the “Mitelman Gene Fusions in TCGA” notebook, ISB Cancer Gateway in the Cloud (an NCI Cloud Resource) identified the most common gene fusions in prostate adenocarcinoma, demonstrating machine learning in Google BigQuery.