Frontiers in Neuroinformatics | |
FAIR in action: Brain-CODE - A neuroscience data sharing platform to accelerate brain research | |
Neuroscience | |
Francis Jeanson1  Alana Sparks2  Bianca Lasalandra2  Moyez Dharsee2  Tom Gee2  Shahab Shahnazari2  Mojib Javadi2  Fan Dong2  Emily Martens2  F. Chris MacPhee2  Anthony L. Vaccarino2  Kenneth R. Evans2  Susan G. Evans2  Fatema Khimji3  Tom Mikkelsen3  Derek Eng3  Brendan Behan3  Heena Cheema3  Kirk Nylen4  Stephen R. Arnott5  Stephen C. Strother5  | |
[1] Datadex, Toronto, ON, Canada;Indoc Research, Toronto, ON, Canada;Ontario Brain Institute, Toronto, ON, Canada;Ontario Brain Institute, Toronto, ON, Canada;Department of Pharmacology and Toxicology, University of Toronto, Toronto, ON, Canada;Rotman Research Institute, Toronto, ON, Canada; | |
关键词: neuroinformatics; neuroscience; data sharing; data management; FAIR; | |
DOI : 10.3389/fninf.2023.1158378 | |
received in 2023-02-03, accepted in 2023-04-10, 发布年份 2023 | |
来源: Frontiers | |
【 摘 要 】
The effective sharing of health research data within the healthcare ecosystem can have tremendous impact on the advancement of disease understanding, prevention, treatment, and monitoring. By combining and reusing health research data, increasingly rich insights can be made about patients and populations that feed back into the health system resulting in more effective best practices and better patient outcomes. To achieve the promise of a learning health system, data needs to meet the FAIR principles of findability, accessibility, interoperability, and reusability. Since the inception of the Brain-CODE platform and services in 2012, the Ontario Brain Institute (OBI) has pioneered data sharing activities aligned with FAIR principles in neuroscience. Here, we describe how Brain-CODE has operationalized data sharing according to the FAIR principles. Findable—Brain-CODE offers an interactive and itemized approach for requesters to generate data cuts of interest that align with their research questions. Accessible—Brain-CODE offers multiple data access mechanisms. These mechanisms—that distinguish between metadata access, data access within a secure computing environment on Brain-CODE and data access via export will be discussed. Interoperable—Standardization happens at the data capture level and the data release stage to allow integration with similar data elements. Reusable - Brain-CODE implements several quality assurances measures and controls to maximize data value for reusability. We will highlight the successes and challenges of a FAIR-focused neuroinformatics platform that facilitates the widespread collection and sharing of neuroscience research data for learning health systems.
【 授权许可】
Unknown
Copyright © 2023 Behan, Jeanson, Cheema, Eng, Khimji, Vaccarino, Gee, Evans, MacPhee, Dong, Shahnazari, Sparks, Martens, Lasalandra, Arnott, Strother, Javadi, Dharsee, Evans, Nylen and Mikkelsen.
【 预 览 】
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RO202310102806925ZK.pdf | 4375KB | download |