• DocumentCode
    23049
  • Title

    Visualization Collaborations: What Works and Why

  • Author

    Kirby, Robert M. ; Meyer, Michael

  • Author_Institution
    Univ. of Utah, Salt Lake City, UT, USA
  • Volume
    33
  • Issue
    6
  • fYear
    2013
  • fDate
    Nov.-Dec. 2013
  • Firstpage
    82
  • Lastpage
    88
  • Abstract
    For over 25 years, the visualization community has grown and evolved as a function of collaboration with other areas. It´s now commonplace for visualization scientists to engage with other researchers in scientific teams. Commonplace, however, doesn´t mean easy. Two visualization researchers´ years of experience have led to a set of observations and recommendations on what works (and what doesn´t) and why in visualization collaborations. These insights can help guide the visualization community as it moves forward.
  • Keywords
    data visualisation; natural sciences computing; scientific team; visualization collaboration; visualization community; visualization scientist; Collaboration; Data visualization; Visualization; case study; collaboration; collaborative visualization; computer graphics; interdisciplinary; intradisciplinary; multidisciplinary; visualization;
  • fLanguage
    English
  • Journal_Title
    Computer Graphics and Applications, IEEE
  • Publisher
    ieee
  • ISSN
    0272-1716
  • Type

    jour

  • DOI
    10.1109/MCG.2013.101
  • Filename
    6682956