News

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

CBIIT Director, Dr. Tony Kerlavage, sat down recently for a podcast examining the evolution of NCI’s Data Commons. He tracked the development of the Cancer Research Data Commons, from its early pilots to today’s cloud-based infrastructure, with repositories of diverse data and more than 1,000 tools and resources.

Check out the latest quarterly updates made to terminologies and ontologies developed and maintained by NCI’s Enterprise Vocabulary Services (EVS) including the NCI Thesaurus and the Clinical Data Interchange Standards Consortium’s (CDISC’s) controlled terminology. EVS content developed in collaboration with CDISC, FDA, NCI programs, and other stakeholders is an indispensable component of NCI’s informatics infrastructure. EVS not only plays a critical role in federal and global data standards but also provides services to accurately code, analyze, and share cancer and biomedical research.

NCI has reissued a Funding Opportunity Announcement soliciting applications for a Data, Evaluation, and Coordinating Center (DECC) for the Connecting Underrepresented Populations to Clinical Trials program (CUSP2CT). Letters of Intent are due February 26, 2022, and applications are due March 28, 2022.

NCI’s Office of Cancer Clinical Proteomics Research’s new blog highlights recent findings from scientists in the Clinical Proteomic Tumor Analysis Consortium. It describes a proof-of-concept approach to identifying fraudulent data in biological data sets.

In the latest episode of the Center for Cancer Genomics (CCG) podcast, “Personal Genomics,” CCG honors the work and legacy of Dr. Daniela S. Gerhard. Dr. Gerhard was a program director and passionate open data advocate who spent nearly two decades developing large-scale genomics and translational research programs at NCI.

NCI is looking for cancer researchers, who need access to comparative oncology data sets, to give feedback on the Integrated Canine Data Commons (ICDC) data portal and its tools.

In RAS-related diseases, such as cancer, mutations in the RAS genes or their regulators render RAS proteins persistently active. Investigating RAS activation events is challenging when using conventional techniques. An unprecedented multiscale platform is using machine learning to change that.