[Esip-discovery] [AGU Fall 2017] IN006: Approaches for Curation to Data Discovery in the Era of Big Data Variety

[Mcgibbney, Lewis J (398M)]

Hi Folks,
On behalf of the conveners for the above session, I would like to extend invitations for the following session

IN006: Approaches for Curation to Data Discovery in the Era of Big Data Variety
Session ID#: 25719
Session Description:
Data are critical to our understanding of Earth as a system. As Earth science data continue to grow in volume and variety, discoverability is becoming both more important and more challenging. Solving the discoverability problem begins with an “inside-out” approach: curating metadata to ensure completeness, correctness and consistency with a view toward helping the user discovery interfaces. The solution space also includes “outside-in” approaches, in which alternative pathways are used to enable discoverability. This session will look at both inside-out and outside-in ways to improve discovery. Inside-out ways include metadata curation tools, controlled vocabularies and ontologies, and collaborative metadata creation. Outside-in ways may include paths that start with the physical phenomena in question; from science research articles about the data; from narratives featuring the data; from data visualizations; and even from social media.
Primary Convener:  Kaylin Bugbee, University of Alabama in Huntsville, Huntsville, AL, United States
Conveners:  Lewis John McGibbney, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, Thomas O Dabolt, Department of the Interior Washington DC, Washington, DC, United States and David Neufeld, NOAA Boulder, National Centers for Environmental Information (NCEI), Boulder, CO, United States
Index Terms:

1916 Data and information discovery<https://agu.confex.com/agu/fm17/preliminaryview.cgi/start?words=1916> [INFORMATICS]
1946 Metadata<https://agu.confex.com/agu/fm17/preliminaryview.cgi/start?words=1946> [INFORMATICS]
1950 Metadata: Quality<https://agu.confex.com/agu/fm17/preliminaryview.cgi/start?words=1950> [INFORMATICS]

Abstracts can be submitted at the link below

https://agu.confex.com/agu/fm17/preliminaryview.cgi/Session25719

Regards
Lewis

Dr. Lewis John McGibbney Ph.D., B.Sc.
Data Scientist II
Computer Science for Data Intensive Applications Group (398M)
Instrument Software and Science Data Systems Section (398)
Jet Propulsion Laboratory
California Institute of Technology
4800 Oak Grove Drive
Pasadena, California 91109-8099
Mail Stop : 158-256C
Tel:  (+1) (818)-393-7402
Cell: (+1) (626)-487-3476
Fax:  (+1) (818)-393-1190
Email: lewis.j.mcgibbney at jpl.nasa.gov

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 Dare Mighty Things
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