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Marla Meehl NCAR/CISL Network Engineering & Telecommunications Section. Big Data in the Geosciences, University Corporation for Atmospheric Research (UCAR/NCAR), and the NCAR Wyoming Supercomputing Center (NWSC). Geosciences.

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marla meehl ncar cisl network engineering telecommunications section
Marla Meehl

NCAR/CISL

Network Engineering & Telecommunications Section

Big Data in the Geosciences, University Corporation for Atmospheric Research (UCAR/NCAR), and the NCAR Wyoming Supercomputing Center (NWSC)

geosciences
Geosciences
  • "Over the next decade, the geosciences community commits to developing a framework to understand and predict responses of the Earth as a system, from the space-atmosphere boundary to the core, including the influences of humans and ecosystems."
  • Atmospheric, geospace, oceanic, biological, geological observed and modeled data
  • Geoscientists are increasingly engaged in data intensive science and investigation, data management, and long-term storage and access issues including the full data life cycle.
earthcube
EarthCube
  • NSF is facilitating a community dialog with a goal of transforming the conduct of research in geosciences by supporting the development of a community-guided CI, an EarthCube, to integrate data and information for knowledge management across the geosciences.
    • High Performance Computing
    • Data Storage
    • Networking
    • Analysis
slide5
Change the paradigm – just can’t move this much data – the network cannot be the only solution to this problem – integrated solution
  • Minimize what moves
    • Data Services
    • Analysis computing capability closer to the computing
    • “Distill” the data
  • Minimize what save
    • Specialized Code
    • Save only what need
change paradigm cont d
Change Paradigm Cont’d
  • Better metadata
    • Allows to build service
    • Allows to find data
    • Standard metadata enable standardized services
  • Focus on the network between large data and data server providers
    • Integrated data services across the network
      • “Ecosystems of interoperable data services
      • Network is coupler
change paradigm cont d1
Change Paradigm Cont’d
      • “Engage the Community”
        • User education on data services and practices
      • Distributed data environment
  • Integrate data efficiency into proposals
  • Invest in people and time to develop data services, tools, standards, etc.
thanks and q a
Thanks and Q & A
  • Thank you
  • Questions?
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