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The Predictive Oncology Model and Data Clearinghouse (MoDaC) is a data -sharing repository and model clearinghouse developed to transition resources to the broader research community. These resources include datasets from software and computational capabilities consist of predictive oncology datasets and mathematical models (such as machine learning and deep learning models) developed within NCI and in collaborative programs. These programs , including include the NCI-DOE Collaborations and the ATOM consortium. Some of the datasets stored in the repository are publicly availableCollaboration projects and the Accelerating Therapeutics for Opportunities in Medicine (ATOM) Consortium. 

MoDaC supports the community priority for making both data and predictive models FAIR (Findable, Accessible, Interoperable, and Reusable). MoDaC also fosters reproducibility and supports collaborations among groups developing computational predictive models, including collaborations with the US Department of Energy.

The following table summarizes the tasks you can perform in the MoDaC web application (GUI):

For information on the MoDaC REST API, select About > API Documentation.

For instructions on signing upLogging in requires registration. For instructions, refer to Registering Your User Account. To request permission to upload data, click Contact in the header select About > Contact. For details, refer to Contacting Us.

This user guide won an Excellence award in the Society for Technical Communication (STC) 2021 Alliance Competition.

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