Neuroscience Data in the Cloud
Opportunities and Challenges: Proceedings of a Workshop
Board on Health Sciences Policy author Forum on Neuroscience and Nervous System Disorders author National Academies of Sciences, Engineering, and Medicine author Health and Medicine Division author Clare Stroud editor Lisa Bain editor Amanda Wagner Gee editor
Format:Paperback
Publisher:National Academies Press
Published:6th Jun '20
Currently unavailable, and unfortunately no date known when it will be back
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.
Table of Contents- Front Matter
- 1 Introduction and Background
- 2 Harnessing Cloud-Based Technologies to Advance Neuroscience Research: Select Current Initiatives
- Part 1: Cloud-Based Technologies for Neuroscience Research: Challenges and Potential Solutions
- 3 Protecting Privacy in the Cloud
- 4 Managing Data and Promoting Interoperability in the Cloud
- 5 Assigning Credit, Determining Ownership, and Licensing Data in the Cloud
- 6 Governing, Funding, and Sustaining Cloud-Based Platforms
- Part 2: Different Types of Neuroscience Data: Challenges and Potential Opportunities
- 7 Clinical Trial and Research Data
- 8 Genetic Data
- 9 Neuroimaging Data
- 10 Real-World Data
- 11 Future Directions
- Appendix A: References
- Appendix B: Workshop Agenda
- Appendix C: Registered In-Person Attendees <
ISBN: 9780309670555
Dimensions: unknown
Weight: unknown
98 pages