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Comment: Updated for MODAC-271, 274, 289.

The Predictive The Predictive Oncology Model and Data Clearinghouse (MoDaC) is a data -sharing repository and model clearinghouse developed to transition assets resources to the broader research community. These assets include datasets and software models from computational capabilities resources consist of predictive oncology datasets and mathematical models (such as machine learning and deep learning models) developed within NCI and in collaborative programs, including the Joint Design of Advanced Computing Solutions for Cancer (JDACS4C) Program and the . These programs include the NCI-DOE Collaboration projects and the Accelerating Therapeutics for Opportunities in Medicine (ATOM) Consortium. 

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TasksRequires Signup or Permission?Supported Device
  • Search for publicly available assets by metadata keywords
  • View the metadata associated with a public collection
NoDesktop or Mobile
  • Download data to Globus endpoint, AWS S3 bucket, Google Drive folder, Google Cloud bucket, or local system
  • View status of downloads to Globus, AWS, or Google Google Drive folder, or Google Cloud bucket
  • View assets shared with you. 
Yes, requires signupDesktop only
  • Upload data
  • Generate predictions
  • Evaluate models
  • View upload or prediction status
  • Share collections or predictions with groups.
  • View predictions shared with you
  • Manage edit permissions
  • Edit metadata
  • Delete your own file or empty collection
Yes, requires signup and upload permissionDesktop only

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

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