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Big Data Needs Big Governance: Best Practices From Brain-CODE, the Ontario-Brain Institute's Neuroinformatics
Shannon Lefaivre1, Brendan Behan1, Anthony Vaccarino1,2
1Ontario Brain Institute, Toronto, ON, Canada.
Frontiers in Genetics
|April 16, 2019
Summary
The Ontario Brain Institute
Area of Science:
- Neuroscience
- Data Science
- Health Informatics
Background:
- The Ontario Brain Institute (OBI) developed Brain-CODE, a large-scale informatics platform.
- Brain-CODE facilitates data capture, storage, federation, sharing, and analysis for brain disorder research.
- A robust data governance structure underpins the platform, balancing scientific advancement with participant privacy.
Purpose of the Study:
- To highlight best practices in large-scale data sharing for neuroscience research.
- To present a key open resource for developing similar open science initiatives.
- To showcase OBI's approach to enabling scientific discovery through data sharing.
Main Methods:
- Implementation of a scalable informatics platform (Brain-CODE).
- Development of a flexible and robust data governance structure.
- Adoption of a Privacy by Design approach for data sharing and platform development.
Main Results:
- Established best practices for large-scale data sharing within Canada.
- Designed a governance structure supporting collaborative and open science.
- Ensured data accessibility for discoveries while maintaining privacy and security.
Conclusions:
- OBI's Brain-CODE platform demonstrates a successful model for catalyzing neuroscience discovery.
- A Privacy by Design approach is crucial for secure and effective large-scale data sharing.
- The developed best practices can guide future open science initiatives in data-intensive research.