Discovery Cluster

From Federation of Earth Science Information Partners

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Revision as of 10:05, 28 March 2017

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.
Discovery Cluster 2017 Minutes
Discovery Cluster Archive Posts

Open Source Code Repositories related to Search Relevancy
- OneStop Project
- Earthdata Search
- ESRI Geoportal
- NASA AIST MUDROD Project; Mining and Utilizing Dataset Relevancy from Oceanographic Datasets to Improve Data Discovery and Access project funded by NASA AIST (NNX15AM85G)

Email List: ESIP-Discovery Cluster
Email archive: ESIP-Discovery Email Archive
Telecons:
- Second Tuesdays of each month at 1:00pm PST / 4:00pm EST
- To join the meeting from your computer, tablet or smartphone, click:
  - https://www.gotomeeting.com/join/131281357
  - You can also dial in using your phone
  - United States: +1 (224) 501-3312
  - Access Code: 131-281-357
Contact Cluster Coordinators:
- Search Relevancy: Dave Neufeld
- OpenSearch: Doug Newman
Governance

@@ Line 35: / Line 35: @@
 ** [https://github.com/nasa/earthdata-search Earthdata Search]
 ** [https://github.com/Esri/geoportal-server ESRI Geoportal]
+** [https://github.com/mudrod/mudrod NASA AIST MUDROD Project]; Mining and Utilizing Dataset Relevancy from Oceanographic Datasets to Improve Data Discovery and Access project funded by NASA AIST (NNX15AM85G)
 * [http://wiki.esipfed.org/index.php/File:Relevancy_Heuristics.ppt Lynnes Presentation on Search Heuristics]