Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-23824
Publication type: Article in scientific journal
Type of review: Peer review (publication)
Title: International data governance for neuroscience
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
et. al: No
DOI: 10.1016/j.neuron.2021.11.017
10.21256/zhaw-23824
Published in: Neuron
Volume(Issue): 110
Issue: 4
Page(s): 600
Pages to: 612
Issue Date: 15-Dec-2021
Publisher / Ed. Institution: Cell Press
ISSN: 0896-6273
1097-4199
Language: English
Subject (DDC): 005: Computer programming, programs and data
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://digitalcollection.zhaw.ch/handle/11475/23824
Fulltext version: Published version
License (according to publishing contract): CC BY 4.0: Attribution 4.0 International
Departement: School of Engineering
Organisational Unit: Centre for Artificial Intelligence (CAI)
Appears in collections:Publikationen School of Engineering

Files in This Item:
File Description SizeFormat 
2021_Eke-etal_International-data-governance-neuroscience.pdf1.03 MBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.