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To serve the need for research across domains, the National Cancer Institute Clinical and Translational Imaging Informatics Project (NCI CTIIP) team is creating a set of open-source software tools that support a comprehensive and reusable exploration and fusion of imaging, clinical, and molecular data. The Cancer Genome Atlas (TCGA) and The Cancer Imaging Archive (TCIA) projects, with molecular metadata and image-derived information, respectively, have created a rich multi-domain data set. This data set, however, is in an infrastructure that provides limited query capability for identifying cases based on all of the available data types. (For example...?)Moreover, this infrastructure does not accept data from other research domains (and/or is not standards-based?).

To address these limitations, the The CTIIP team will therefore develop a unified query interface to make it easier to analyze data from different disciplinesresearch domains. This interface, plus the related open-source software and data standards, would then be applied to clinical/co-clinical settings (small animal models), and provide a common platform and data engine for the hosting of “pilot challenges.” These pilot challenges will proactively facilitate biological and clinical research across three NCI divisions. The algorithms used in the pilot challenges will be shared with the community via an open-source software clearinghouse.

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CTIIP is composed of three sub-projects that. The sub-projects, along with the solutions they provide, are discussed in this guide and listed below.

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