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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.

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Marla Meehl NCAR/CISL Network Engineering & Telecommunications Section

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  1. 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)

  2. 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.

  3. 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

  4. 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

  5. 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

  6. 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.

  7. Thanks and Q & A • Thank you • Questions?

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