TY - JOUR
T1 - International data governance for neuroscience
AU - Eke, Damian O.
AU - Bernard, Amy
AU - Bjaalie, Jan G.
AU - Chavarriaga, Ricardo
AU - Hanakawa, Takashi
AU - Hannan, Anthony J.
AU - Hill, Sean L.
AU - Martone, Maryann E.
AU - McMahon, Agnes
AU - Ruebel, Oliver
AU - Crook, Sharon
AU - Thiels, Edda
AU - Pestilli, Franco
N1 - Funding Information:
The authors’ views are personal views and do not necessarily represent those of the organizations with which they are affiliated, such as the National Science Foundation (NSF), National Institutes of Health (NIH) or US federal government. We thank Kenji Doya, Megumi Maruyama, and Nargis Akter for administrative support. A.M. and A.B. are supported by the Kavli Foundation . D.O.E. and J.G.B. are supported by the European Union ’s Horizon 2020 Framework Programme for Research and Innovation under Specific Grant Agreement (SGA) 945539 (HBP, SGA3). O.R. is supported by the National Institute of Neurological Disorders and Stroke of the NIH under award U24NS120057 . A.J.H. is supported by a Principal Research Fellowship and Ideas Grant from the National Health and Medical Research Council (NHMRC) and by the DHB Foundation (Equity Trustees) and Flicker of Hope Foundation . S.L.H. is supported by Krembil Foundation funding. T.H. is supported by the Strategic International Brain Science Research Promotion Program ( 21dm0307003h0004 and 21dm0307004h0003 ) and Brain Mapping by Integrated Neurotechnologies for Disease Studies ( 21dm0207070h0001 ) from the Japan Agency for Medical Research and Development . F.P. is supported by NSF grants IIS 1636893 , IIS 1912270 , and BCS 1734853 , NIH National Institute of Biomedical Imaging and Bioengineering (NIBIB) grant 1R01EB029272 , NIH NIMH 1R01MH126699 , and a Microsoft Investigator Fellowship.
Funding Information:
The authors? views are personal views and do not necessarily represent those of the organizations with which they are affiliated, such as the National Science Foundation (NSF), National Institutes of Health (NIH) or US federal government. We thank Kenji Doya, Megumi Maruyama, and Nargis Akter for administrative support. A.M. and A.B. are supported by the Kavli Foundation. D.O.E. and J.G.B. are supported by the European Union's Horizon 2020 Framework Programme for Research and Innovation under Specific Grant Agreement (SGA) 945539 (HBP, SGA3). O.R. is supported by the National Institute of Neurological Disorders and Stroke of the NIH under award U24NS120057. A.J.H. is supported by a Principal Research Fellowship and Ideas Grant from the National Health and Medical Research Council (NHMRC) and by the DHB Foundation (Equity Trustees) and Flicker of Hope Foundation. S.L.H. is supported by Krembil Foundation funding. T.H. is supported by the Strategic International Brain Science Research Promotion Program (21dm0307003h0004 and 21dm0307004h0003) and Brain Mapping by Integrated Neurotechnologies for Disease Studies (21dm0207070h0001) from the Japan Agency for Medical Research and Development. F.P. is supported by NSF grants IIS 1636893, IIS 1912270, and BCS 1734853, NIH National Institute of Biomedical Imaging and Bioengineering (NIBIB) grant 1R01EB029272, NIH NIMH 1R01MH126699, and a Microsoft Investigator Fellowship. M.E.M. is a founder and has equity interest in SciCrunch.com, a technology startup providing services in support of Research Resource Identifiers and reproducible science.
Publisher Copyright:
© 2021 The Authors
PY - 2022/2/16
Y1 - 2022/2/16
N2 - 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).
AB - 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).
UR - http://www.scopus.com/inward/record.url?scp=85124388788&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85124388788&partnerID=8YFLogxK
U2 - 10.1016/j.neuron.2021.11.017
DO - 10.1016/j.neuron.2021.11.017
M3 - Review article
C2 - 34914921
AN - SCOPUS:85124388788
SN - 0896-6273
VL - 110
SP - 600
EP - 612
JO - Neuron
JF - Neuron
IS - 4
ER -