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Neuroscience Data in the Cloud: Opportunities and Challenges: Proceedings of a Workshop (2020)

Chapter: Part 1: Cloud-Based Technologies for Neuroscience Research: Challenges and Potential Solutions

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Suggested Citation:"Part 1: Cloud-Based Technologies for Neuroscience Research: Challenges and Potential Solutions." 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. doi: 10.17226/25653.
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Part 1

Cloud-Based Technologies for Neuroscience Research: Challenges and Potential Solutions

The biggest barriers to cloud-based studies are ethical, legal, and administrative, said Benjamin Neale, associate professor in the Analytic and Translational Genetics Unit at Massachusetts General Hospital and the Broad Institute of the Massachusetts Institute of Technology (MIT) and Harvard. There is no consistent framework for what types of data should be available for what kinds of analyses, he said, and questions related to privacy and identifiability countervail against the drive to promote the use of the cloud for neuroscience research. Maryann Martone added that liability issues and legal uncertainty have become major problems for the research community, with the unintended consequence of clamping down on progress. She added that reuse of data, a central aim of the cloud, imposes burdens in data management, governance, and privacy.

These and other topics of discussion at the workshop are summarized in the following four chapters: issues related to protecting privacy in the cloud (Chapter 3); data management and promotion of interoperability (Chapter 4); considerations for assigning credit, determining ownership, and licensing data (Chapter 5); and governance, long-term funding, and sustainability of cloud-based platforms (Chapter 6).

Suggested Citation:"Part 1: Cloud-Based Technologies for Neuroscience Research: Challenges and Potential Solutions." 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. doi: 10.17226/25653.
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Suggested Citation:"Part 1: Cloud-Based Technologies for Neuroscience Research: Challenges and Potential Solutions." 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. doi: 10.17226/25653.
×
Page 15
Suggested Citation:"Part 1: Cloud-Based Technologies for Neuroscience Research: Challenges and Potential Solutions." 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. doi: 10.17226/25653.
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Next: 3 Protecting Privacy in the Cloud »
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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.

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