News

Keep up with the latest news from Cancer Research Data Commons (CRDC)
and the data science communities.
August 26, 2020

The latest repository in the NCI Cancer Research Data Commons, the Integrated Canine Data Commons (ICDC), has launched! The ICDC offers cloud-based public access to canine cancer data and with its connection to the NCI Cloud Resources, allows researchers to leverage over 1,000 analytics tools and pipelines for high-powered cloud computing and analysis.

August 25, 2020

NCI's Small Business Innovation Research (SBIR) Development Center is now accepting proposals for contracts of interest to the data science field. One topic is aimed at developing cloud-based imaging and multi-omic tools and another is seeking de-identification solutions for NCI's Cancer Research Data Commons (CRDC). Applications are due by Monday, October 26, 2020, at 5:00 p.m. ET. A pre-recorded webinar from HHS is available, which explains the 2020 contract Funding Opportunity Announcements for SBIR programs and gives some tips for success.

August 17, 2020

Harmony can mean different things to different professions, but in the new NCI Cancer Research Data Commons (CRDC) video, musical harmony and data harmonization combine to show how the CRDC is helping to create a harmonious data ecosystem for better clinical outcomes.

August 12, 2020

Drs. Daoud Meerzaman of NCI’s Center for Biomedical Informatics and Information Technology (CBIIT) and Barbara K. Dunn of NCI’s Biometry Research Group recently served as Guest Editors for a special virtual issue of the journal, Frontiers in Oncology. This collection of articles shows how ‘omics data are helping scientists to better understand the prevention, detection, and treatment of cancer. The issue explores the full range of ‘omics findings, from identifying biomarkers for diagnosing and treating cancer, to uncovering the mechanisms for disease.

July 30, 2020

The Metadata Automation DREAM Challenge has closed! Learn more about the winners and how they plan to collaborate together to improve their algorithms and brainstorm future approaches to automating metadata annotation.