News

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

The NCI CBIIT Metadata Software and Services team members received a 2023 NIH Director’s Award for restructuring metadata infrastructure and services to meet your needs.

Get the latest updates to NCI’s Enterprise Vocabulary Services, including childhood cancer staging terminology and Genomic Data Commons property and value terminology.

The DataWorks! Prize recognizes and rewards exceptional researchers for their work in biological and biomedical data practices. Submit your data sharing/reuse best practice “recipes” by July 24, 2024!

NCI’s Childhood Cancer Data Initiative has a new online Hub. If you’re a researcher, doctor, or citizen scientist, you now have quick-and-easy access to a rapidly growing inventory of data, tools, and resources on childhood cancer data.

Planning your itinerary for this year’s American Association for Cancer Research (AACR) Annual Meeting? Want to make sure you catch the NCI-affiliated data science activities? We’ve put together a helpful reference page for you!

The latest release from NCI’s Enterprise Vocabulary Services includes updates to SeroNet terminology, childhood neoplasm terminologies, as well as other standalone terminologies, ontologies, and mappings.

Funding can be used to support data preparation for inclusion in the National Institute of Allergy and Infectious Diseases (NIAID) Data Ecosystem.

The latest updates for NCI Enterprise Vocabulary Services include terminology sets for NCI’s Genomic Data Commons, CDISC’s Digital Data Flow project, and a new edition of the NCI Metathesaurus.

A new $14 million project, funded by NIH’s Bridge2AI program, is turning the traditional biomarker concept on its ear. Instead of examining genetic or similar molecular characteristics, researchers are collecting data to look for voice biomarkers that can be linked to cancer.

Learn more about NCI’s Request for Information and contribute to the conversation around cancer metabolomics data.