The Neuroimaging Informatics Tools and Resources Clearinghouse (NITRC – www.nitrc.org) suite of services include a resources registry, image repository and a cloud computational environment to meet the needs of the neuroimaging researcher. NITRC provides image-sharing functionality through both the NITRC Resource Registry (NITRC-R), where bulk data files can be released through the file release system (FRS), and the NITRC Image Repository (NITRC-IR), a XNAT-based image data management system. Currently hosting 14 projects, 6845 subjects, and 8285 MRI imaging sessions, NITRC-IR provides a large array of structural, diffusion and resting state MRI data. Designed to be flexible about management of data access policy, NITRC provides a simple, free, NIH-funded service to support resource sharing in general, and image sharing in particular.

Information management is critical as the landscape of neuroscience related shared resources (data, software, computation, etc.) expands. Since 2006, the Neuroimaging Informatics Tools and Resources Clearinghouse (NITRC: RRID:nif-0000-00202) has provided a comprehensive support infrastructure for resources in the neuroimaging domain. Funded by the NIH Blueprint for Neuroscience Research as well as four NIH institutes , NITRC’s mission is to facilitate finding and comparing neuroimaging resources for neuroimaging analyses. Over the years the scope of these resources has expanded to support scientific domains from MR to PET, SPECT, CT, MEG/EEG, optical imaging, genetic imaging, clinical neuroinformatics and computational neuroscience. A broad set of initiatives have been developed to support these research areas

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We report a new Web-based resource (LAMHDI) integrating information about animal models for human disease research. This NCRR supported resource provides a simple interface to existing animal model information for the biomedical research community. It provides more efficient access to animal model information, better categorizes and organizes existing data, facilitates interactions between researchers and resource providers, and promotes broader and more applicable use of animal models for human disease research. Approach Phase 1: A first-generation prototype is available at www.LAMHDI.org. This portal provides searchable access to existing mouse and zebrafish databases through an integrated search engine, as well as linked access to information about a variety of other species including nonhuman primates and rats. The portal also allows researchers to contribute data on animal models, thereby extending the impact of existing information through direct posting by the research community. Phase 2: The second generation will add extensive new information for additional animal model species and will increase the depth and connectivity of the data through development of semantic datastores. A sophisticated software architecture will support intelligent relational searches across diverse datasets to highlight associations between diseases, animal models, and biologic pathways.

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