Neuroinformatics database (NiDB) - A modular, portable database for the storage, analysis, and sharing of neuroimaging data

Gregory A. Book, Beth M. Anderson, Michael C. Stevens, David C. Glahn, Michal Assaf, Godfrey D. Pearlson

    Research output: Contribution to journalArticle


    We present a modular, high performance, open-source database system that incorporates popular neuroimaging database features with novel peer-to-peer sharing, and a simple installation. An increasing number of imaging centers have created a massive amount of neuroimaging data since fMRI became popular more than 20 years ago, with much of that data unshared. The Neuroinformatics Database (NiDB) provides a stable platform to store and manipulate neuroimaging data and addresses several of the impediments to data sharing presented by the INCF Task Force on Neuroimaging Datasharing, including 1) motivation to share data, 2) technical issues, and 3) standards development. NiDB solves these problems by 1) minimizing PHI use, providing a cost effective simple locally stored platform, 2) storing and associating all data (including genome) with a subject and creating a peer-to-peer sharing model, and 3) defining a sample, normalized definition of a data storage structure that is used in NiDB. NiDB not only simplifies the local storage and analysis of neuroimaging data, but also enables simple sharing of raw data and analysis methods, which may encourage further sharing.

    Original languageEnglish (US)
    Pages (from-to)495-505
    Number of pages11
    Issue number4
    StatePublished - Oct 2013


    • Database
    • Neuroimaging
    • Neuroinformatics
    • Pipeline

    ASJC Scopus subject areas

    • Software
    • Neuroscience(all)
    • Information Systems

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