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Neuroscience Data in the Cloud Opportunities and Challenges: Proceedings of a Workshop (2020) / Chapter Skim
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1 Introduction and Background
Pages 1-6

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From page 1...
... This contrasts with the cloud model, where data and tools are co-located in a platform that enables multiple investigators to work with a single copy of the dataset using common tools. The cloud model 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.
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From page 2...
... , which incorporates the former IOM, to explore the burgeoning use of cloud computing in neuroscience, said Huerta. On September 24, 2019, the National Academies' Forum on Neuroscience and Nervous System Disorders hosted a workshop on neuroscience data in the cloud, co-chaired by Huerta and Deanna Barch, chair of the Department of Psychological and Brain Sciences at Washington University in St.
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From page 3...
... Since data models document real life people, places, and things and the events between them, the data model represents reality."b Federation: a data organizational scheme that supports "the sharing of arbitrary resources from arbitrary application domains with arbitrary consumer groups across multiple domains.… Any type of organizational collaboration could be facilitated by a secure method to selectively share data with specific partners" (Lee et al., 2020)
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From page 4...
... In Part 1, Chapter 3 covers issues related to the protection of privacy; Chapter 4 addresses data management and interoperability issues; BOX 1-2 Statement of Task • Review the landscape of major neuroscience cloud-based initiatives and other uses of cloud technology within neuroscience research. • Discuss aspirational goals for maximizing benefit from data and compute in the cloud by empowering broad and meaningful data sharing and fostering open science.
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From page 5...
... Chapter 11 concludes with a discussion of future directions, including identifying tangible next steps and promising areas for future action.
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Key Terms

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  • networked neuroscience
  • meaningful data
  • neuroscience community
  • data science
  • advance neuroscience

  • share data
  • data analytics
  • data storage
  • optimize data
  • combining data

  • cloud repositories
  • data model
  • neuroscience initiatives
  • data models
  • neuroscience collaborations

  • discuss approaches
  • concepts related
  • share approaches
  • using common
  • workshop brought


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