Data-intensive collaboration in science and engineering

Matthew J. Bietz, Andrea Wiggins, Mark Handel, Cecilia Aragon

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationCSCW'12 - Proceedings of the ACM 2012 Conference on Computer Supported Cooperative Work Companion
Pages3-4
Number of pages2
DOIs
StatePublished - 2012
Externally publishedYes
EventACM 2012 Conference on Computer Supported Cooperative Work Companion, CSCW'12 - Seattle, WA, United States
Duration: Feb 11 2012Feb 15 2012

Publication series

NameProceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW

Conference

ConferenceACM 2012 Conference on Computer Supported Cooperative Work Companion, CSCW'12
CountryUnited States
CitySeattle, WA
Period2/11/122/15/12

Keywords

  • citizen science
  • cyberinfrastructure
  • data
  • e-science
  • standards

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Networks and Communications

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