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

IMPROVE focuses on improving deep learning models to predict the efficacy of cancer treatments. The research community, including data scientists and informaticists, is asked to respond to an RFI for creating protocols to evaluate model performance by April 15, 2022, at 5:00 p.m. ET. Additionally, they are encouraged to respond to an RFP for improving model comparison by May 9, 2022.

NIH needs input on potential updates to the NIH Genomic Data Sharing Policy! As a researcher or data scientist, share your perspective related to cancer genomic data to help the policy keep pace with evolving scientific opportunities and stakeholder expectations. Responses to the Request for Information will be accepted through February 28, 2022.

Interested in making data discoverable to the larger research community? Share your perspective with NIH, who wants to know how to improve data searchability and discovery. Cancer researchers, data submitters/generators, data users, and technology providers should respond by December 3, 2021.

Cancer researchers and data scientists have the opportunity to provide NIH and the FDA input on the requirements for accelerating clinical applications of next generation sequencing and radiomics (including those using artificial intelligence and machine learning). Responses to these Requests for Information are due Monday, November 1, 2021.

This RFI seeks extramural stakeholder input (e.g., bioinformaticians, computational biologists, data scientists, and other informatics researchers) to understand the opportunities and challenges of adopting cloud computing at minority universities and colleges for biomedical, clinical, behavioral, and social science research. Responses will be accepted through September 30, 2021.

NIH released this RFI to inform the development of consent language for data and biospecimen sharing.

This RFI will inform the development of an NIH initiative on the use of Artificial Intelligence/Machine Learning to address health disparities and inequities and enhance diversity within the AI/ML workforce.

This Request for Information is intended to obtain information to formulate a procurement strategy for a data platform to support the National Childhood Cancer Registry, a component of the larger Childhood Cancer Data Initiative.

NIH’s National Library of Medicine recently released a Request for Information (RFI) on the use of Common Data Elements (CDEs) in the context of research on COVID-19. These comments will be used to inform NIH’s continuing development of guidance on CDE use for COVID-related research. RFI responses are due by May 10, 2021.

NCI seeks input to identify promising opportunities and cancer research needs that, while difficult to address on an individual scale, might be directly related to the scientific mission of a national lab. Responses will be accepted through Friday, February 19, 2021.