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The integrated query system currently in development will serve as an archive of images from multiple imaging disciplines. This requires technical solutions. One of the most fundamental to the success of the integrated query system is an Application Program Interface (API) that provides a Representational State Transfer (REST) API to TCIA metadata and image collections. This API is built using a middleware platform called Bindaas. and this that is also used to build the backend infrastructure of caMicroscope. 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.

The recently concluded FDA Imaging Pilot demonstrated the feasibility of data federation between NBIA and AIM, and the value of such data federation in streamlining the imaging review processes at the FDA. This data federation is made possible by the Bindaas middleware that is also used to build the backend infrastructure of caMicroscope. We propose to extend this backend infrastructure with a data federation capability that provides for query capability using multiple data points across TCIA and TCGA will be implemented.

Relate data from TCIA, caMicroscope, animal model

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