Lefaivre Shannon, Behan Brendan, Vaccarino Anthony, Evans Kenneth, Dharsee Moyez, Gee Tom, Dafnas Costa, Mikkelsen Tom, Theriault Elizabeth
Ontario Brain Institute, Toronto, ON, Canada.
Indoc Research, Toronto, ON, Canada.
Front Genet. 2019 Mar 29;10:191. doi: 10.3389/fgene.2019.00191. eCollection 2019.
The Ontario Brain Institute (OBI) has begun to catalyze scientific discovery in the field of neuroscience through its large-scale informatics platform, known as Brain-CODE. The platform supports the capture, storage, federation, sharing, and analysis of different data types across several brain disorders. Underlying the platform is a robust and scalable data governance structure which allows for the flexibility to advance scientific understanding, while protecting the privacy of research participants. Recognizing the value of an open science approach to enabling discovery, the governance structure was designed not only to support collaborative research programs, but also to support open science by making all data open and accessible in the future. OBI's rigorous approach to data sharing maintains the accessibility of research data for big discoveries without compromising privacy and security. Taking a Privacy by Design approach to both data sharing and development of the platform has allowed OBI to establish some best practices related to large-scale data sharing within Canada. The aim of this report is to highlight these best practices and develop a key open resource which may be referenced during the development of similar open science initiatives.
安大略脑研究所(OBI)已开始通过其名为Brain-CODE的大规模信息学平台推动神经科学领域的科学发现。该平台支持跨多种脑部疾病捕获、存储、联合、共享和分析不同类型的数据。该平台的基础是一个强大且可扩展的数据治理结构,它在保护研究参与者隐私的同时,允许灵活地推进科学理解。认识到开放科学方法对促进发现的价值,治理结构的设计不仅是为了支持合作研究项目,也是为了通过使所有数据在未来开放和可访问来支持开放科学。OBI严格的数据共享方法在不损害隐私和安全的前提下,保持研究数据对重大发现的可访问性。在数据共享和平台开发方面采用“设计时考虑隐私”的方法,使OBI能够在加拿大建立一些与大规模数据共享相关的最佳实践。本报告的目的是突出这些最佳实践,并开发一个关键的开放资源,供类似开放科学计划的开发过程中参考。