News

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

AACR Annual Meeting

NCI Data Science at the 2024 AACR Annual Meeting

Are you planning to attend this year’s American Association for Cancer Research (AACR) Annual Meeting? Make sure to add these NCI-affiliated data science activities to your schedule!

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COVID-19 and Cancer Consortium Wins the NIH/FASEB DataWorks! Prize Challenge

Learn more about the team that won the 2023 DataWorks! Challenge Grand Prize. The winners crowdsourced data gathering and used a common, interoperable platform to understand the impacts of COVID-19 on people with a current or past history of cancer.

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Give Your Input on the Updated NIH Strategic Plan for Data Science

What do you think of the updated Strategic Plan for Data Science from NIH? Respond to this Request for Information by March 15!

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Provide Feedback on NIH Data Management and Sharing Plan Pilot Templates

Do you conduct NIH-funded research? Try out these data management and sharing (DMS) plan pilot templates, give your input, and help shape the future of NIH DMS Plan design!

Automatic segmentation of the liver from CT scan of patient TCGA-DD-A1EH

New Artificial Intelligence and Medical Imaging Annotations Added to the NCI Imaging Data Commons

Explore a new interactive dashboard that includes data sets of advanced machine-generated segmentation of tumor and organ contents.

brain cancer imaging

The Cancer Imaging Archive Adds New Data

Discover new data collections available for you to use in your cancer research!

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Eight Research Projects Receive Funding from NCI’s Childhood Cancer Data Initiative

The Childhood Cancer Data Initiative (CCDI) awarded administrative supplements to eight NCI-Designated Cancer Centers, enabling research that leverages the CCDI Data Ecosystem to address scientific questions and create analytical tools for advancing childhood cancer research.

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NCI’s Enterprise Vocabulary Services Poised to Support Real-World Data

Learn how you can employ NCI’s semantic infrastructure to expand the use of CDISC standards for Real-World Data analysis and the generation of Real-World Evidence.

Circles containing illustrated people are connected to one another by a series of lines. The people represent a wide variety of ages, ethnicity, and gender. The graphic shows the variety and connectedness of data within the MyPart data set.

NCI’s MyPART Program Yields a Wealth of Data on Rare Cancers

NCI’s My Pediatric and Adult Rare Tumor Network (MyPART) program recently released a new long-term study, and an array of data resources, to help you in your research on rare cancers.

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Looking to Improve the Processes Around Real-World Data? Share Opinions with NIH!

NIH wants to hear from you! Give your perspective on how to better use Real-World Data in biomedical and behavioral research.

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