[ESIP-all] 2016 Fall AGU Session IN007: Benefits and Challenges of Open Source Software and Open Data

[Mattmann, Chris A (3980)]

Hi All,

Please find a description of the subject referenced session on
open source. This is a long running and established session on 
Open Source at AGU. Please consider submitting to our session.

Thank you!

Cheers,
Chris Mattmann
(on behalf of Bob, Jens and Yolanda)


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IN007: Benefits and Challenges of Open Source Software and Open Data

Session Description:
Earth and space sciences can benefit from adopting and sharing open 
source software and from open data as these open science practices offer 
opportunities to improve science infrastructure. In addition to this, 
open source software enhances capabilities of researchers, science 
teams, new users and allows them to build more capable, reliable, and 
long-lasting software. Reusing open source software and data can be 
synergistically and mutually beneficial as well as challenging.

This session focuses on meeting the challenges of these open science 
efforts so that we can inform the community how best to obtain the 
benefits. Presentations describe successes, challenges, and lessons 
learned from creating adopting, using, and sharing open source software 
and open data for Earth and space science. In particular we invite use 
of software from the open source technology community (Apache, Eclipse, 
OSGeo, OGC, etc.), and the application of these technologies to Earth 
and space sciences use cases.

Primary Convener:
Jens F Klump, CSIRO Mineral Resources, Perth, WA, Australia
Conveners:
Yolanda Gil, University of Southern California, Los Angeles, CA, United 
States;
Chris A Mattmann, NASA Jet Propulsion Laboratory, Pasadena, CA, United 
States; University of Southern California, Computer Science Department, 
Los Angeles, CA, United States; and
Robert R Downs, Columbia University, CIESIN, Palisades, NY, United States



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Chris Mattmann, Ph.D.
Chief Architect
Instrument Software and Science Data Systems Section (398)
NASA Jet Propulsion Laboratory Pasadena, CA 91109 USA
Office: 168-519, Mailstop: 168-527
Email: chris.a.mattmann at nasa.gov
WWW:  http://sunset.usc.edu/~mattmann/
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Director, Information Retrieval and Data Science Group (IRDS)
Adjunct Associate Professor, Computer Science Department
University of Southern California, Los Angeles, CA 90089 USA
WWW: http://irds.usc.edu/
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