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Government Data Centers Meeting Increasing Demands (2003) / Chapter Skim
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Appendix D: Workshop Discussions
Pages 45-50

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From page 45...
... Data Access and Ingest Working Group The working group on data access and ingest assessed the ways users access data and He ways that data centers collect data. What is good and bad about the way users access data?
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From page 46...
... The user community is broader and more diverse than the community for which it was on~ally planned. Facilitating the access and understanding of data by interdisciplinary and non-technical users should be a priority for the data centers.
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From page 47...
... What are the greatest problems getting data into data centers? Shortage of ingest staff and difficulty with maintaining stateof-the-art hardware and software are challenges.
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From page 48...
... Finally, better coordination and communication among agencies, data producers, data archivists, and producers of metadata would improve data ingest. Data Distribution and Processing Working Group The group on data distnbution and processing examined the different data processing strategies at the NOAA, DOE, and NASA data centers.
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From page 49...
... REACTION PANEL SUMMARY . 49 On the second day of the workshop, a panel of workshop participants representing data center managers, agency sponsors, data users, and the information technology industry was asked to react to the previous day's working group presentations.
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From page 50...
... centers. Technology is but one of the challenges facing data Some of the technological challenges facing data centers have already been addressed In the information technology fields for other applications.
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Key Terms

  • data processing
  • data center
  • data volume
  • users access
  • facing data

  • data access
  • challenges facing
  • data ingest
  • access data
  • increased access

  • structured formats
  • diverse access
  • individual researchers
  • decrease distribution
  • ease user

  • user base
  • accessed efficiently
  • center transfers
  • dramatically decrease
  • improve data

  • data quality
  • data reprocessing
  • substantial benefit
  • user access
  • simplifying exploitation

  • resource usage
  • processing examined
  • data security
  • technological challenges
  • potential applications


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