Poster E101, Monday, March 27, 2:30 – 4:30 pm, Pacific Concourse
NITRC’s Triad of Services: Software, Data, Compute
Christian Haselgrove1, David Kenney2, Nina Preuss3, Robert Buccigrossi3, Matt Travers3, Albert Crowley3, Giorgio Ascoli1, Steven Bressler1, Arnaud Delorme1, Karl Helmer1, Li Shen1; 1Neuromorphometrics, Inc, 2David N Kennedy Consulting, 3Turner Consulting Group
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. NITRC’s mission is to foster a user-friendly knowledge environment for the neuroinformatics community. By continuing to identify existing software tools and resources, NITRC’s goal is to support researchers dedicated to enhancing, adopting, distributing, and contributing to the evolution of neuroimaging analysis tools and resources. Located at www.nitrc.org, the Resource Registry (NITRC-R) promotes software tools and resources, vocabularies, test data, and databases, extending the impact of previously funded contributions. NITRC-R gives researchers greater and more efficient access to the tools and resources they need by categorizing and organizing existing tools and resources, facilitating interactions between researchers and developers, and promoting better usability through enhanced documentation and tutorials. As of 10/2016, 877 public resources are listed on NITRC-R. The NITRC Image Repository (NITRC-IR) makes 8,285 imaging sessions publicly available at no charge, and the NITRC Computational Environment (NITRC-CE) provides computation services downloadable to your machine or via commercial cloud providers such as Amazon Web Services and Microsoft Azure. NITRC is now an established knowledge environment for the neuroimaging community and 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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