Neuroscience Data in the Cloud: Opportunities and Challenges: Proceedings of a Workshop

National Academies of Sciences, Engineering, and Medicine

doi:10.17226/25653

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Neuroscience Data in the Cloud

Opportunities and Challenges: Proceedings of a Workshop

(2020)

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The cloud model of data sharing has led to a vast increase in the quantity and complexity of data and expanded access to these data, which has attracted many more researchers, enabled multi-national neuroscience collaborations, and facilitated the development of many new tools. Yet, the cloud model has also produced new challenges related to data storage, organization, and protection. Merely switching the technical infrastructure from local repositories to cloud repositories is not enough to optimize data use.

To explore the burgeoning use of cloud computing in neuroscience, the National Academies Forum on Neuroscience and Nervous System Disorders hosted a workshop on September 24, 2019. A broad range of stakeholders involved in cloud-based neuroscience initiatives and research explored the use of cloud technology to advance neuroscience research and shared approaches to address current barriers. This publication summarizes the presentation and discussion of the workshop.

Contributor(s): National Academies of Sciences, Engineering, and Medicine; Health and Medicine Division; Board on Health Sciences Policy; Forum on Neuroscience and Nervous System Disorders; Lisa Bain, Amanda Wagner Gee, and Clare Stroud, Rapporteurs

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Suggested Citation

National Academies of Sciences, Engineering, and Medicine. 2020. Neuroscience Data in the Cloud: Opportunities and Challenges: Proceedings of a Workshop. Washington, DC: The National Academies Press. https://doi.org/10.17226/25653.

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Publication Info

98 pages | 6 x 9 |

ISBNs:

Paperback: 978-0-309-67055-5
Ebook: 978-0-309-67058-6

DOI: https://doi.org/10.17226/25653

Chapters		skim
Front Matter	i-xiv
1 Introduction and Background	1-6
2 Harnessing Cloud-Based Technologies to Advance Neuroscience Research: Select Current Initiatives	7-14
Part 1: Cloud-Based Technologies for Neuroscience Research: Challenges and Potential Solutions	15-16
3 Protecting Privacy in the Cloud	17-24
4 Managing Data and Promoting Interoperability in the Cloud	25-30
5 Assigning Credit, Determining Ownership, and Licensing Data in the Cloud	31-36
6 Governing, Funding, and Sustaining Cloud-Based Platforms	37-42
Part 2: Different Types of Neuroscience Data: Challenges and Potential Opportunities	43-44
7 Clinical Trial and Research Data	45-50
8 Genetic Data	51-54
9 Neuroimaging Data	55-58
10 Real-World Data	59-64
11 Future Directions	65-72
Appendix A: References	73-74
Appendix B: Workshop Agenda	75-80
Appendix C: Registered In-Person Attendees	81-84

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