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The Integrated Query System currently in development will access a variety of multiple data types , shown below, that in a federated fashion, meaning that the original data will reside in independent systems.
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The Integrated Query System will provide an interface scientists can use to select the data types they want to combine, or "mash up," based on their own research questions.
The following table presents the data types and their sources that the Integrated Query System will make available.
| Data Types in the Integrated Query System | Data Source |
|---|---|
| Genomic | Google Genomics Cloud |
| Clinical | Downloaded from TCGA and stored in a customized database at Emory University |
| Preclinical | Customized database at Emory University |
| Radiology Images (Human and Animal) | TCIA |
| Radiology Image Annotation and Markup | AIM Data Service (AIME) |
| Pathology Images (Human and Animal) | caMicroscope |
| Pathology Image Annotation and Markup | uAIM Data Service (uAIME) |
Given the technical challenges inherent in such a system, technical solutions are being developed, including an API that will support federation of multiple information repositories using the concept of data mashups. Data federation is a process whereby data is collected from distinct databases without ever copying or transferring the original data itself. A data mashup in this case is a software interface, much like a dashboard, that allows a person to visualize and analyze data from different sources. The Integrated Query System, with its support for whole slides and data mashups of federated data, will act as a foundation for a broader set of novel community research projects.
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