The Predictive Oncology Model and Data Clearinghouse (MoDaC) is a data-sharing repository developed to transition resources to the broader research community. These resources include datasets and software models from computational capabilities developed within NCI and in collaborative programs, including the Joint Design of Advanced Computing Solutions for Cancer (JDACS4C) Program and the Accelerating Therapeutics for Opportunities in Medicine (ATOM) Consortium. Annotated datasets stored in the repository are publicly available and can be searched against their metadata and downloaded.
An account is not needed to perform searches of the repository and view the metadata associated with a collection. Users who create an account can download data. Downloads can be performed asynchronously to a Globus endpoint or an AWS S3 bucket, or synchronously to the user's computer. Users can monitor the progress of their asynchronous downloads at any point during the transfer.