News

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

Do you have knowledge, interest, and experience conducting childhood cancer research? NCI’s Childhood Cancer Data Initiative seeks your input to identify opportunities to generate additional research molecular characterization data to accelerate scientific discovery and improve patient care through enhanced data sharing.

NCI’s Childhood Cancer Data Initiative (CCDI) requests information from labs capable of conducting molecular profiling using specimens from pediatric and young adult patients. If you’re interested, review the Request for Information and submit your feedback by July 7, 2023, at 5:00 p.m. ET.

NIH wants to hear from you about the NIH Public Access Plan, which shows how to accelerate access to federally supported scientific data and research.

Support the maintenance and enhancements of the Clinical Proteomic Tumor Analysis Consortium (CPTAC) Assay Portal, including the assay characterization data within it, through a new contract opportunity. Your proposal is due March 28, 2023.

Working with cancer data? NCI’s Office of Data Sharing invites you to give feedback on the processes you use to manage and share data.

NCI is soliciting feedback on the utility and future promise of multidimensional tumor atlases for the Human Tumor Atlas Network, including high-priority data types and challenges/opportunities for computational modeling. Your responses are due January 7, 2023.

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

Are you interested in comparative oncology? NCI needs input on the future needs and directions of the Integrated Canine Data Commons. Submit a response by Thursday, December 1, 2022.

We want to learn more about the resource and information you need to work in cancer data science.

NIH has announced a Request for Information (RFI) to solicit ideas for potential NIH Common Fund programs. Common Fund program categories include Transformational Science and Discovery, Catalytic Data Resources, and Re-engineering the Research Enterprise.