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The National Cancer Institute Clinical and Translational Imaging Informatics Project (NCI CTIIP) unites sub-projects from several imaging research domains with the goal of creating a common informatics infrastructure and open-source software tools to run integrative queries and answer research questions using data from these domains. These domains are clinical imaging, pre-clinical imaging of small animal models, and digital pathology. 

This common infrastructure depends on data interoperability, which requires adherence to standards. While standards such as DICOM and AIM exist, vendors of data viewers and other tools required for data analysis have not adopted them. Moreover, a

The result of this lack of uniformly accepted standards is that outside a given laboratory of small collaborative groups, the integration of pathology data with radiographic, genomic, and proteomic data is all but impossible. 

The CTIIP team plans to apply the concept of a data mashup in a computer interface that allows researchers to access The Cancer Genome Atlas (TCGA) clinical and molecular data, The Cancer Imaging Archive (TCIA) in-vivo imaging data, caMicroscope pathology data, a pilot set of animal model data, and relevant imaging annotation and markup data. Currently, these data repositories and types are burdened by a lack of interoperability due to the inconsistent use of or the lack of data standards. At the conclusion of this project, the resulting informatics infrastructure that each domain can share will provide researchers with analysis tools to directly mine data from multiple high-volume information repositories, creating a foundation for research and decision support systems to better diagnose and treat patients with cancer.

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