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Data-intensive collaboration in science and engineering

Published: 11 February 2012 Publication History

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.

References

[1]
Bell, G., Hey, T., and Szalay, A. Beyond the Data Deluge. Science, 323, 5919 (2009), 1297--1298.
[2]
Birnholtz, J., and Bietz, M. J. Data at work: Supporting sharing in science and engineering, Proc. GROUP 2003. ACM Press (2003), 339--348.
[3]
Lee, J. W., Zhang, J., Zimmerman, A. S., and Lucia, A. DataNet: An emerging cyberinfrastructure for sharing, reusing and preserving digital data for scientific discovery and learning. AIChE Journal, 55, 11 (2009), 2757--2764.
[4]
Millerand, F., and Bowker, G. C. Metadata standards: Trajectories and enactment in the life of an ontology. In M. Lampland & S. L. Star (Eds.), Standards and Their Stories: How Quantifying, Classifying, and Formalizing Practices Shape Everyday Life. Cornell University Press, Ithaca, NY (2009), 149--165.
[5]
Star, S. L., and Ruhleder, K. Steps toward an ecology of infrastructure: Design and access for large information spaces. Information Systems Research, 7, 1 (1996), 111--134.
[6]
Wiggins, A., and Crowston, K. From conservation to crowdsourcing: A typology of citizen science, Proc. HICSS 2011 (2011).

Cited By

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  • (2014)Mobile technology-enhanced asset maintenance in an SMEJournal of Quality in Maintenance Engineering10.1108/JQME-06-2013-003720:2(163-181)Online publication date: 6-May-2014
  • (2013)The Architecture and Design of a Community-Based Cloud Platform for Curating Big DataProceedings of the 2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery10.1109/CyberC.2013.35(171-178)Online publication date: 10-Oct-2013
  • (2013)Automatic Hypothesis Checking Using eScience Research Infrastructures, Ontologies, and Linked Data: A Case Study in Climate Change ResearchProcedia Computer Science10.1016/j.procs.2013.05.28318(1172-1178)Online publication date: 2013

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  1. Data-intensive collaboration in science and engineering

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    cover image ACM Conferences
    CSCW '12: Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work Companion
    February 2012
    388 pages
    ISBN:9781450310512
    DOI:10.1145/2141512
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    New York, NY, United States

    Publication History

    Published: 11 February 2012

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    Author Tags

    1. citizen science
    2. cyberinfrastructure
    3. data
    4. e-science
    5. standards

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    CSCW '12
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    CSCW '12: Computer Supported Cooperative Work
    February 11 - 15, 2012
    Washington, Seattle, USA

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    Overall Acceptance Rate 2,235 of 8,521 submissions, 26%

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    Cited By

    View all
    • (2014)Mobile technology-enhanced asset maintenance in an SMEJournal of Quality in Maintenance Engineering10.1108/JQME-06-2013-003720:2(163-181)Online publication date: 6-May-2014
    • (2013)The Architecture and Design of a Community-Based Cloud Platform for Curating Big DataProceedings of the 2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery10.1109/CyberC.2013.35(171-178)Online publication date: 10-Oct-2013
    • (2013)Automatic Hypothesis Checking Using eScience Research Infrastructures, Ontologies, and Linked Data: A Case Study in Climate Change ResearchProcedia Computer Science10.1016/j.procs.2013.05.28318(1172-1178)Online publication date: 2013

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