By centralizing an enduring data archive, we allow the broader neuroscience research community to access and thereby analyze the data from various BRAIN Initiative projects. All information pertaining to data acquisition, quality control, pre-processing, and analyses are captured and retained, providing a comprehensive history and provenance to the data. Data provenance includes timestamped raw data with timeline noting data upload revisions and versions, preprocessed data (provided by data collectors or produced by users within associated analytic tools), saved cohorts, and analysis workflows saved by users. We have pioneered innovative standardization/co-registration references, fully supported by novel image and electrophysiology processing methods, to extract candidate biomarkers from the diverse data to address the specific projects’ goals. Spatial descriptions and co-registrations of regions of interest are made according to detailed coordinate/imaging maps of the brain, co-registered to sensors, such as implanted or scalp electrodes, when possible. With the aid of the LONI Pipeline22 (link),23 that is integrated into DABI, much of this work is automated. Not only is a well-curated and standardized multi-modal data set facilitating the development of models of various diseases, but it is also ensuring that such models are statistically significant and validated.
Data trends and correlations can then be calculated in DABI, without downloading raw data. Integrated software and analytics include image visualization, quality control24 (link), LONI Pipeline22 (link),23 , Jupyter25 , R Analysis and Visualization of intracranial EEG Data (RAVE)26 , and a variety of statistical tests. RAVE allows users to visualize intracranial EEG (iEEG) recordings and apply various dimensionality reduction and statistical methods to analyze these large iEEG datasets27 ,28 (link). Investigators maintain complete ownership and control of their data. Unaffiliated users must be granted access from PIs to download raw data or conduct analysis using DABI’s built-in analytics.
Data trends and correlations can then be calculated in DABI, without downloading raw data. Integrated software and analytics include image visualization, quality control24 (link), LONI Pipeline22 (link),23 , Jupyter25 , R Analysis and Visualization of intracranial EEG Data (RAVE)26 , and a variety of statistical tests. RAVE allows users to visualize intracranial EEG (iEEG) recordings and apply various dimensionality reduction and statistical methods to analyze these large iEEG datasets27 ,28 (link). Investigators maintain complete ownership and control of their data. Unaffiliated users must be granted access from PIs to download raw data or conduct analysis using DABI’s built-in analytics.
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