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Neuroscience Data in the Cloud Opportunities and Challenges: Proceedings of a Workshop (2020) / Chapter Skim
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4 Managing Data and Promoting Interoperability in the Cloud
Pages 25-30

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From page 25...
... For example, the Psychiatric Genomics Consortium shares data on a compute cluster in the Netherlands that, while not in the cloud, uses similar data sharing and standardized processing approaches (Neale)
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From page 26...
... Data management can be costly and time consuming, said Huerta. Researchers should think about data integration and data sharing from the beginning as they are developing and designing their projects and should balance the costs versus benefits (value assessment)
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From page 27...
... He added that NIH is preparing to release for public comment a data management and sharing policy, which will require NIH-funded researchers to include a data management and sharing plan in their grant proposals.1 Neale suggested that genetics is one domain within the field of neuro­ science that has already made progress in sharing data. The ­Psychiatric G ­ enomics Consortium (PGC)
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From page 28...
... DATA MANAGEMENT ISSUES TO BE RESOLVED Transforming data from a raw state into a standardized format capable of being analyzed and/or shared -- a process called "data munging" or "data wrangling" -- is costly and time consuming, sometimes accounting for as much as 70 percent of a project's budget, said Michael Nalls, founder and CEO of Data Tecnica International and a consultant for the National Institute on Aging. Rachel Ramoni, chief research and development officer for the Department of Veterans Affairs (VA)
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From page 29...
... Huerta added that in academic environments it can be difficult to recruit and retain people who have the skills necessary for data standardization. Martone said that researchers tend to have little interest in standards, often leaving data management to graduate students and postdoctoral fellows.
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Key Terms

  • data sharing
  • huerta added
  • transforming data
  • data standards
  • develop standards

  • raw state
  • time consuming
  • genetics data
  • data standardization
  • data residing

  • data modalities
  • neuroimaging data
  • data tecnica
  • changing data
  • leaving data

  • irrelevant data
  • similar data
  • data types
  • share data
  • integrate data

  • analyze data
  • data exchange
  • phenotypic data
  • data integration
  • promote data

  • data identifies
  • main data
  • data munging
  • accepted data
  • costs versus


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