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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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