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BibTeX entry
@Article{Ma:2007:CCS,
author = "Kwan-Liu Ma",
title = "Creating a collaborative space to share data,
visualization, and knowledge",
journal = j-COMP-GRAPHICS,
volume = "41",
number = "4",
pages = "1--4",
month = nov,
year = "2007",
CODEN = "CGRADI, CPGPBZ",
DOI = "https://doi.org/10.1145/1331098.1331105",
ISSN = "0097-8930",
bibdate = "Wed Jun 18 10:13:23 MDT 2008",
bibsource = "http://www.math.utah.edu/pub/tex/bib/siggraph2000.bib",
abstract = "Collaboration is an effective approach to problem
solving. Most large-scale scientific investigations are
highly interdisciplinary and collaborative, with
project investigators often geographically distributed.
For example, ITER [1] is a joint international research
and development project that aims to demonstrate the
scientific and technical feasibility of fusion power.
The partners in the project are distributed in more
than ten countries, and it is imperative that they
share their creations and findings since greater
advances are only made with collective efforts.
Similarly, I am participating in the U.S. Department of
Energy's SciDAC (Scientific Discovery through Advanced
Computing) program [2], which sponsors a dozen
high-profile science projects. Each of the project
teams involves researchers from several different
universities and national laboratories. Clearly, there
is an explicit need to provide support for
collaborative work. How can these researchers
effectively share their data, problem solving
strategies, and research findings without time and
place constraint? The answer is web-based
collaboratories, which have been created for many major
science projects. However, most of these
collaboratories are simply data repositories with web
interfaces. For instance, users do not get to see the
associations between data and users, which are as
valuable as the data itself. These associations can be
large and very complex, and thus hard to comprehend.
Visualization can play a key role in both knowledge
discovery and managing potentially complex and
high-dimensional collaborative workspace. I have been
thinking about how to address the need to support
collaborative data analysis and visualization, and how
to direct the visualization research community towards
the development of such needed technologies. I am going
to describe some of the ongoing efforts to facilitate
sharing visualization resources that will provide the
eventual support for the kind of collaborative
workspace I have in mind.",
acknowledgement = ack-nhfb,
fjournal = "Computer Graphics",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J166",
}
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