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Neuroscience data in the cloud opportunities and challenges : proceedings of a workshop

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...

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Bibliographic Details
Main Author: Bain, Lisa J.
Corporate Authors: National Academies of Sciences, Engineering, and Medicine (U.S.) Forum on Neuroscience and Nervous System Disorders, Neuroscience Data in the Cloud (Workshop) (2019, Washington, D.C.)
Other Authors: Gee, Amanda Wagner ([rapporteur]), Stroud, Clare ([rapporteur])
Format: eBook
Language:English
Published: Washington, DC National Academies Press [2020], 2020
Subjects:
Cloud Computing
Databases As Topic
Biomedical Research
Neurosciences
Online Access:
Collection: National Center for Biotechnology Information - Collection details see MPG.ReNa
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520 |a 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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