Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/28353
Title: International data governance for neuroscience.
Austin Authors: Eke, Damian O;Bernard, Amy;Bjaalie, Jan G;Chavarriaga, Ricardo;Hanakawa, Takashi;Hannan, Anthony J;Hill, Sean L;Martone, Maryann E;McMahon, Agnes;Ruebel, Oliver;Crook, Sharon;Thiels, Edda;Pestilli, Franco
Affiliation: Human Brain Project..
National Science Foundation, Alexandria, VA, USA..
The Florey Institute of Neuroscience and Mental Health
Centre for Computing and Social Responsibility, De Montfort University, Leicester, UK..
Scientific Data Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA..
The Kavli Foundation, Los Angeles, CA, USA..
University of California, San Diego, San Diego, CA, USA..
School of Mathematical and Statistical Sciences, Arizona State University, Tempe, AZ, USA..
University of Oslo, Oslo, Norway..
Center for Artificial Intelligence, School of Engineering, Zurich University of Applied Sciences, Zurich, Switzerland..
Kyoto University Graduate School of Medicine, Kyoto, Japan..
Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, ON, Canada..
Department of Psychology, Center for Perceptual Systems, Center for Theoretical and Computational Neuroscience, and Institute for Neuroscience, University of Texas, Austin, TX, USA..
Issue Date: 16-Feb-2022
Date: 2021
Publication information: Neuron 2022; 110(4): 600-612
Abstract: As neuroscience projects increase in scale and cross international borders, different ethical principles, national and international laws, regulations, and policies for data sharing must be considered. These concerns are part of what is collectively called data governance. Whereas neuroscience data transcend borders, data governance is typically constrained within geopolitical boundaries. An international data governance framework and accompanying infrastructure can assist investigators, institutions, data repositories, and funders with navigating disparate policies. Here, we propose principles and operational considerations for how data governance in neuroscience can be navigated at an international scale and highlight gaps, challenges, and opportunities in a global brain data ecosystem. We consider how to approach data governance in a way that balances data protection requirements and the need for open science, so as to promote international collaboration through federated constructs such as the International Brain Initiative (IBI).
URI: https://ahro.austin.org.au/austinjspui/handle/1/28353
DOI: 10.1016/j.neuron.2021.11.017
ORCID: 0000-0001-7532-8922
Journal: Neuron
PubMed URL: 34914921
PubMed URL: https://pubmed.ncbi.nlm.nih.gov/34914921/
Type: Journal Article
Appears in Collections:Journal articles

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