Data-intensive collaboration in science and engineering

Authors:
Matthew J. Bietz;Andrea Wiggins;Mark Handel;Cecilia Aragon
Affiliations:
University of California, Irvine, Irvine, CA, USA;Syracuse University, Syracuse, NY, USA;The Boeing Company, Seattle, WA, USA;University of Washington, Seattle, WA, USA
Venue:
Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work Companion
Year:
2012

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Abstract

Science and engineering are facing huge increases in data volumes. This data deluge presents challenges for conducting collaborative data-intensive knowledge work and opportunities to provide better computational and organizational support for that work. This workshop will address three themes: infrastructures for big data, interoperability and standards, and data-intensive collaboration.