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Poster B78, Sunday, March 25, 8:00-10:00 am, Exhibit Hall C

NIH Funded NITRC’s Triad of Services: Software, Data, Compute

Christian Haselgrove1,2, Robert Buccigrossi3, Albert Crowley3, David Kennedy2, Abby Paulson3, Nina Preuss3, Matt Travers3; 1Neuromorphometrics, Inc, 2University of Massachusetts Medical School, 3TCG, Inc

Aim: The Neuroimaging Informatics Tools and Resources Clearinghouse (NITRC) is a neuroinformatics knowledge environment for MR, PET/SPECT, CT, EEG/MEG, optical imaging, clinical neuroinformatics, computational neuroscience, and imaging genomics tools and resources. Methods: Initiated in 2006 through the NIH Blueprint for Neuroscience Research, NITRC’s mission is to foster a user-friendly knowledge environment for the neuroinformatics community. By identifying existing software tools and other resources, NITRC supports researchers dedicated to enhancing, adopting, distributing, and contributing to the evolution of analysis software, data, and compute resources. Results: Located on the web at www.nitrc.org, the Resources Registry (NITRC-R) promotes software tools and resources, vocabularies, test data, and databases, extending the impact of previously funded contributions to a broader community. NITRC-R gives researchers greater and more efficient access to the tools and resources they need, better categorizing and organizing existing resources, facilitating interactions between researchers and developers, and promoting better use through enhanced documentation and tutorials. the NITRC Image Repository (NITRC-IR) makes thousands of imaging sessions publicly available at no charge, and the NITRC Computational Environment (NITRC-CE) provides cloud-based computation services. Conclusions: NITRC is now an established knowledge environment for the neuroimaging community where tools and resources are presented in a coherent and synergistic environment. NITRC is a trusted source for the identification of resources in this global community. We encourage the neuroinformatics community to continue providing valuable resources, design and content feedback, and to utilize these resources in support of data sharing requirements, software dissemination, and cost-effective computational performance.

Topic Area: METHODS: Neuroimaging

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