Difference between revisions of "Discovery Cluster"

From Earth Science Information Partners (ESIP)
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* 2017-01-02: Search Relevancy Mission Statement: Finding earth science data has been a challenging problem given both the quantity of data available and the heterogeneity of the data across a wide variety of domains. The ESIP Discovery Cluster plans to explore this topic in greater detail this year, by evaluating and documenting a variety of different approaches to improving search relevancy for earth science data. It is expected that lessons learned may come from hands-on implementations of different data discovery efforts such as NOAA’s OneStop project, NASA’s Common Metadata Repository (CMR), EarthData Search, ESRI’s Geoportal, as well as other community driven solutions.
 
* 2017-01-02: Search Relevancy Mission Statement: Finding earth science data has been a challenging problem given both the quantity of data available and the heterogeneity of the data across a wide variety of domains. The ESIP Discovery Cluster plans to explore this topic in greater detail this year, by evaluating and documenting a variety of different approaches to improving search relevancy for earth science data. It is expected that lessons learned may come from hands-on implementations of different data discovery efforts such as NOAA’s OneStop project, NASA’s Common Metadata Repository (CMR), EarthData Search, ESRI’s Geoportal, as well as other community driven solutions.
  
* Archived Updates
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* Archived Updates [[http://wiki.esipfed.org/index.php/Discovery_Cluster_Archive_Posts]]
 
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Revision as of 14:42, January 2, 2017

What's New

  • 2017-01-02: Search Relevancy Mission Statement: Finding earth science data has been a challenging problem given both the quantity of data available and the heterogeneity of the data across a wide variety of domains. The ESIP Discovery Cluster plans to explore this topic in greater detail this year, by evaluating and documenting a variety of different approaches to improving search relevancy for earth science data. It is expected that lessons learned may come from hands-on implementations of different data discovery efforts such as NOAA’s OneStop project, NASA’s Common Metadata Repository (CMR), EarthData Search, ESRI’s Geoportal, as well as other community driven solutions.
  • Archived Updates [[1]]

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