Data Archive for the BRAIN Initiative (DABI)
Type: Software,
Keywords: Human, EEG, Neurophysiology, Imagine, ECoG, MRI, Analytics, Dissemination, Open-access, Harmonization
A shared repository for invasive neurophysiology data from the NIH BRAIN Initiative
DABI is a web-accessible data archive that captures, stores, and curates human invasive neurophysiology data from BRAIN Initiative proposals. These data are aggregated, organized, and disseminated to the research community to accelerate the pace of discovery in the neurosciences. In addition to its archival and organization services, DABI also integrates novel analytical tools for cohort discovery and preliminary analyses.
* Ingest and Archive data: An efficient, secure, HIPAA-compliant data repository platform
* Quality Control: A multi-center data review and assessment system that preserves data quality, fidelity, and provenance
* Harmonize Data: A common model comprised of common database schema, data dictionary and code lists
* Search, Download, and Support: Mechanism and regular training sessions to increase the ease of data aggregation and the downloading of large datasets
* Interactive Data Visualization: Spatially normalize data and create subject cohorts to search, compare and download data
* DABI can be used to store, process, share, and analyze data types spanning many different modalities and formats.
* A data provider may upload ECoG, preoperative and post-operative imaging, behavioral, and demographic data during ongoing or after the completion of a clinical trial investigating the effects of deep brain stimulation on obsessive compulsive disorder.
* A data user may pool together a cohort of several subjects spanning many studies examining LFPs in the motor cortex in order to research the brain’s response to observed movement.
* A data user may utilize several tools to analyze pooled subjects across institutions within the DABI site.
* Human
* Web-accessible
* Open-access
* On-site visualization
* On-site analytical tools
* Central data storage
* Easily shareable
* No standard file formats required
* No standard file format requirement means that there may be several file types for one data type
* Data providers and data users must make a DABI account prior to uploading or accessing data.
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Arthur Toga, Professor
University of Southern California, Los Angeles, CA
TEAM / COLLABORATOR(S)
Dominique Duncan, Assistant Professor of Neurology, Neuroscience, and Biomedical Engineering, University of Southern California
Nader Pouratian, Lois C.A. and Darwin E. Smith Distinguished Chair in Neurological Surgery, UT Southwestern Medical Center
Arthur Toga, Director of USC Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California
FUNDING SOURCE(S)
* R24MH114796