The Metadata Automation DREAM Challenge is now open for registration. Using structured biomedical data files, Challenge participants will develop solutions to automate annotation of metadata fields and values, using existing research data annotations (e.g., Cancer Data Standards Registry and Repository (caDSR) Common Data Elements [CDEs] and other established terminologies and ontologies). 

Having accurate, complete, and consistent metadata is essential for research as it enables the comparison of data from a wide range of studies. Automating this task is a critical next step in advancing scientific discovery across NCI initiatives, such as the NCI Cancer Research Data Commons (CRDC). Challenge participants can test their tools using synthetic data generated from caDSR CDEs, the Applied Proteogenomics Organizational Learning and Outcomes (APOLLO), and The Cancer Imaging Archive (TCIA) datasets, as well as other publicly available resources. 

Learn more about how to participate and register today! 

This Challenge is supported by funding through the Cancer Moonshot℠.