Call for Proposals - AGU Fall Meeting 2016 IN030. New Approaches to Data Discovery Across Geoscience Domains (Session ID 14131).

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02 Aug 2016
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Hello datadiscovery@,
Apologies for any cross posting which may have already taken place. I know the AGU session we are running this year will be of interest to members of this group.
Does your work contribute to making it easier for people to find data? Do you know about a process that would improve the discoverability of data? Then we have the perfect session at AGU for you to tell your story! IN030. New Approaches to Data Discovery Across Geoscience Domains (Session ID 14131). We already have some excellent talks lined up, including invited presentations by Phil Yang of George Mason University and Chris Lynnes of NASA Goddard Space Flight Center.
The forthcoming 2016 Fall Meeting of the American Geophysical Union will be held on December 12-16, 2016 in San Francisco, California. To submit an abstract visit The Deadline for abstract submission is August 3, 2016 (23:59 EDT).
Session Description: Research data resides in myriads of independent domain-specific, domain-independent and institutional repositories. These repositories may organize information and support search by datasets, samples, time series, individual observations, etc. Different information models, granularity levels, access mechanisms, and semantic conventions make cross-domain data search far from a trivial task. Further, it is unclear to what extent existing search mechanisms meet the evolving data discovery needs of geoscientists.
This session aims to explore the challenges and new approaches that those who produce data, those who search for data, and those who build systems that enable data discovery, share. We solicit submissions covering topics such as:
* Understanding and meeting the data discovery needs of geoscientists
* Methods to improve relevance ranking
* Federated data search: practice and problems
* Searching across different types and granularity levels of information
* Data discovery through customized web crawling
* Text mining and NLP to enrich results and enable faceted search
* Describing dataset for improved scoring by search engines
* Modeling of user behavior
* New search paradigms and visual interfaces
We look forward to a broad selection of contributions for this exciting session and thank you in advance for your consideration.
Best Regards
Siri Jodha Khalsa, NSIDC
Edward Armstrong, JPL
Anita de Waard, Elsevier
Lewis John McGibbney, JPL
Dr. Lewis John McGibbney Ph.D., B.Sc.
Data Scientist II
Computer Science for Data Intensive Applications Group 398M
Jet Propulsion Laboratory
California Institute of Technology
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