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All three research domains will clearly need an imaging archive that can be leveraged for integration across multiple data types and sources. For example, TCGA program has the goal of producing a comprehensive genomic characterization and analysis of 200 types of cancer and providing this information to the research community. TCIA and the underlying NBIA software stack were created to manage well-curated, publicly-available collections of medical image data, including diagnostic images associated with the tissue samples sequenced by TCGA. TCIA currently supports over 40 active research groups including researchers who are exploiting the existing linkages between TCGA and TCIA. TCIA has recently released an API — an Application Programmatic Interface that provides a REST API to TCIA metadata and image collections. This API is built using a middleware platform called Bindaas,and this API is being designed to support federation of multiple information repositories using the concepts of a data mashups. This infrastructure can be expanded to include more data types and additional integration, and provide analytic and decision support, which will act as a foundation for a broader set of novel community research projects.
Subproject Team
| Name | Role | Organization |
|---|---|---|
| Jose Galvez | Team Lead | NCI |
| John Freymann | SME | NCI - Leidos |
| Justin Kirby | SME | NCI - Leidos |
| Ashish Sharma | PI | Emory |
Subproject Documentation
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- Scope
- RequirementsMeeting Materials:Meeting...
