Creating a collaborative space to share data, visualization, and knowledge

Research output: Contribution to specialist publicationArticle

4 Citations (Scopus)

Abstract

Collaboration is an effective approach to problem solving in most large-scale scientific investigations, which are highly interdisciplinary and collaborative, with project investigators often geographically distributed. 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. Many researchers do not have access to the resources required to perform effective visualization for large data sets generated by their simulations. The International Linear Collider (ILC) project involves researchers from Stanford Linear Accelerator Center (SLAC), High Energy Accelerator Research Organization (KEK) in Japan, Deutsches Elektronen Synchrotron (DESY) in Germany, and various the US national laboratories. Scientists on this project may run the same simulation code with a different parameter setting.

Original languageEnglish (US)
Volume41
No4
Specialist publicationComputer Graphics (ACM)
DOIs
StatePublished - Jan 1 2007

Fingerprint

Data visualization
Visualization
Linear accelerators
Colliding beam accelerators
Synchrotrons
Particle accelerators
Data mining

ASJC Scopus subject areas

  • Computer Science(all)
  • Computer Graphics and Computer-Aided Design

Cite this

Creating a collaborative space to share data, visualization, and knowledge. / Ma, Kwan-Liu.

In: Computer Graphics (ACM), Vol. 41, No. 4, 01.01.2007.

Research output: Contribution to specialist publicationArticle

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