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Neuroscience Data in the Cloud Opportunities and Challenges: Proceedings of a Workshop (2020) / Chapter Skim
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2 Harnessing Cloud-Based Technologies to Advance Neuroscience Research: Select Current Initiatives
Pages 7-14

The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
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From page 7...
... . • The platform OpenNeuro enables free and open sharing of multiple data types using a community standard called the Brain Imaging Data Structure (BIDS)
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From page 8...
... She added that many other projects beyond those included in the figure are using cloud infrastructure. INTERNATIONAL NEUROSCIENCE COORDINATING FACILITY Neuroscience is never going to be served by a single platform or a single infrastructure because there are too many different types of data and too much technological flux, Martone said, and the cloud alone should not be seen as a replacement for contributing data to a proper data repository or archive.
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From page 9...
... 9 SOURCE: Presented by Maryann Martone, September 24, 2019.
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From page 10...
... Martone illustrated how these various standards relate to one another using what she calls the FAIR onion, shown in Figure 2-2. A host of organizations, societies, and others act as convening authorities to bring experts together to establish standards at the different layers of the onion.
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From page 11...
... At the core, standards for basic data descriptors are needed. As data become more complex and specialized, additional layers of standards are required: first, standardized community vocabularies and data types; followed by domain-specific vocabularies, minimal information models, and common data elements.
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From page 12...
... The goal, he said, is to maximize the value of these data. STRIDES The NIH Center for Information Technology has also made a major commitment to adopting and developing best practices related to cloud technologies as a means of supporting the research community, said Nick Weber, program manager for Cloud Services at the NIH Center for Information Technology.
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From page 13...
... STRIDES aims to make it easier for researchers to use these services, access data, and employ the latest tools and technologies while protecting the security and privacy of data, he said. Other important elements of the STRIDES Initiative include a training component across the full range of users, including technical staff, bench researchers, data scientists, and informaticians, and providing insight into sustainability by gathering data on data usage to inform funding decisions, said Weber.
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Key Terms

  • enable data
  • data sharing
  • coordinating facility
  • data types
  • data structure

  • imaging data
  • data standards
  • data elements
  • technology research
  • global neuroscience

  • neuroscience coordinating
  • neuroscience projects
  • international neuroscience
  • file naming
  • google cloud

  • community standard
  • standard called
  • martone noted
  • information models
  • nih center

  • brain imaging
  • outer layers
  • web services
  • data scientists
  • data analyses

  • gathering data
  • contributing data
  • data usage
  • analyze data
  • facilitate data


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