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Presentation slides from the 5th Annual BRAIN Initiative Investigators Meeting

DABI is a web-accessible data archive that captures, stores, and curates human invasive neurophysiology data from NIH Brain Research Through Advancing Innovative Neurotechnologies (BRAIN) Initiative proposals. These data are aggregated, organized, and disseminated to the research community to accelerate the pace of discovery in the neurosciences.

The platform’s functionalities include data de-identification, protocol detection, data deposition, data quality assessment, mapping of data attributes into a common schema, search/select/download interfaces, a visualization interface, and a comprehensive website for investigators.

Researchers sharing data through DABI maintain complete control and ownership of their data at all times, including the ability to change access permissions. Users can view and query datasets through that online interface but cannot access raw data. The platform utilizes both a centralized and federated model; investigators may either upload data to DABI’s central archive or house it themselves.

DABI also performs an essential archival and organization service for researchers who wish to better characterize their own data, presenting opportunities to improve throughput and scientific workflows.

DABI will be harmonized with other BRAIN Initiative data sharing efforts to ensure widespread compatibility.

OVERVIEW

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, Data Download and Support for Data Aggregation Efforts: Mechanisms to increase the ease of downloading large datasets

Interactive Data Visualization Platform: Spatially normalize data and create subject cohorts to search, compare and download data

Integrated Processing Using the LONI Data Processing Pipeline: An extensible framework of protocols that can integrate with modules from any other software suite

Training and Outreach: Web-based tools and regular training sessions will be provided

PRINCIPAL INVESTIGATORS

Click images for details

DEVELOPMENT TEAM

Samuel Hobel

Samuel Hobel
Programmer Analyst

Samuel Hobel is a Software Developer and Computer Scientist with a focus on designing and implementing large-scale research applications and Big Data processing systems.

Faraz Rabbani

Faraz Rabbani
Programmer Analyst

Faraz Rabbani is a Data Scientist with a strong background in Machine Learning, Artificial Intelligence, and Natural Language Processing techniques.

Christopher Vi

Christopher Vi
Programmer Analyst

Christopher is a professional Software Developer working on the DABI Web Application. He specializes in Web Development using Open Source technologies with a focus on Java.

Kalpana Sundaram

Kalpana Sundaram
Programmer Analyst

Kalpana Sundaram is a Java developer with experience in many web frameworks and technologies. She has a developed applications for several prominent academic institutions.

Caroline O'Driscoll

Caroline O'Driscoll
Senior Scientific Graphic Designer

Caroline O'Driscoll is a Digital Health Product Designer and Medical Illustrator. Her focus is on translating complex problems in healthcare and science into human-centered products and solutions.

Rachael Garner

Rachael Garner
Research Assistant

Rachael Garner recently received her Bachelor of Arts in Cognitive Science from the University of California, Berkeley. As a project assistant, she conducts multimodal data analysis on human and rodent imaging and electrophysiology data.

Samuel Hobel
Programmer Analyst

Samuel Hobel is a Software Developer and Computer Scientist with a focus on designing and implementing large-scale research applications and Big Data processing systems.

PROVIDERS