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  1. Article ; Online: Data and Tools Integration in the Canadian Open Neuroscience Platform

    Jean-Baptiste Poline / Samir Das / Tristan Glatard / Cécile Madjar / Erin W. Dickie / Xavier Lecours / Thomas Beaudry / Natacha Beck / Brendan Behan / Shawn T. Brown / David Bujold / Michael Beauvais / Bryan Caron / Candice Czech / Moyez Dharsee / Mathieu Dugré / Ken Evans / Tom Gee / Giulia Ippoliti /
    Gregory Kiar / Bartha Maria Knoppers / Tristan Kuehn / Diana Le / Derek Lo / Mandana Mazaheri / Dave MacFarlane / Naser Muja / Emmet A. O’Brien / Liam O’Callaghan / Santiago Paiva / Patrick Park / Darcy Quesnel / Henri Rabelais / Pierre Rioux / Mélanie Legault / Jennifer Tremblay-Mercier / David Rotenberg / Jessica Stone / Ted Strauss / Ksenia Zaytseva / Joey Zhou / Simon Duchesne / Ali R. Khan / Sean Hill / Alan C. Evans

    Scientific Data, Vol 10, Iss 1, Pp 1-

    2023  Volume 11

    Abstract: Measurement(s) Digital Data Repository Technology Type(s) Digital Data ... ...

    Abstract Measurement(s) Digital Data Repository Technology Type(s) Digital Data Repository
    Keywords Science ; Q
    Language English
    Publishing date 2023-04-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: The CAMH Neuroinformatics Platform

    David J. Rotenberg / Qing Chang / Natalia Potapova / Andy Wang / Marcia Hon / Marcos Sanches / Nikola Bogetic / Nathan Frias / Tommy Liu / Brendan Behan / Rachad El-Badrawi / Stephen C. Strother / Susan G. Evans / Jordan Mikkelsen / Tom Gee / Fan Dong / Stephen R. Arnott / Shuai Laing / Moyez Dharsee /
    Anthony L. Vaccarino / Mojib Javadi / Kenneth R. Evans / Damian Jankowicz

    Frontiers in Neuroinformatics, Vol

    A Hospital-Focused Brain-CODE Implementation

    2018  Volume 12

    Abstract: Investigations of mental illness have been enriched by the advent and maturation of neuroimaging technologies and the rapid pace and increased affordability of molecular sequencing techniques, however, the increased volume, variety and velocity of ... ...

    Abstract Investigations of mental illness have been enriched by the advent and maturation of neuroimaging technologies and the rapid pace and increased affordability of molecular sequencing techniques, however, the increased volume, variety and velocity of research data, presents a considerable technical and analytic challenge to curate, federate and interpret. Aggregation of high-dimensional datasets across brain disorders can increase sample sizes and may help identify underlying causes of brain dysfunction, however, additional barriers exist for effective data harmonization and integration for their combined use in research. To help realize the potential of multi-modal data integration for the study of mental illness, the Centre for Addiction and Mental Health (CAMH) constructed a centralized data capture, visualization and analytics environment—the CAMH Neuroinformatics Platform—based on the Ontario Brain Institute (OBI) Brain-CODE architecture, towards the curation of a standardized, consolidated psychiatric hospital-wide research dataset, directly coupled to high performance computing resources.
    Keywords neuroinformatics ; collaborative brain science ; medical informatics ; XNAT ; LabKey ; Neurosciences. Biological psychiatry. Neuropsychiatry ; RC321-571
    Language English
    Publishing date 2018-11-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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