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Remote visualization of large datasets with MIDAS and ParaViewWeb

Published: 20 June 2011 Publication History

Abstract

In the recent years, the scientific community has been focusing on the management and dissemination of datasets. Challenged by the rapid growth in the number and size of scientific data and supported by new governmental policies, data sharing has become a necessary step in scientific discovery. In parallel, publishing companies have shifted their business to provide not only publications but also associated datasets to their readers. In fact, the publishing industry has been investigating ways to disseminate datasets and more importantly, to present this data to readers in a meaningful manner. In this paper, we present a combination of two leading technologies which allows for online exploration and visualization of scientific datasets. We have combined a digital archiving system, MIDAS, with an online parallel visualization framework, ParaViewWeb. The system has been deployed at several organizations and has been proven to facilitate knowledge dissemination across scientific teams.

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cover image ACM Conferences
Web3D '11: Proceedings of the 16th International Conference on 3D Web Technology
June 2011
175 pages
ISBN:9781450307741
DOI:10.1145/2010425
Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 20 June 2011

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Author Tags

  1. MIDAS
  2. ParaView
  3. data management
  4. large data visualization
  5. remote rendering
  6. web 3D

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Overall Acceptance Rate 27 of 71 submissions, 38%

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  • (2019)Scientific Visualization as a MicroserviceIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2018.2879672(1-1)Online publication date: 2019
  • (2018)Visualization Multi-Pipeline for Communicating BiologyIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2017.274451824:1(883-892)Online publication date: Jan-2018
  • (2017)Scalable web-embedded volume rendering2017 IEEE 7th Symposium on Large Data Analysis and Visualization (LDAV)10.1109/LDAV.2017.8231850(45-54)Online publication date: Oct-2017
  • (2016)State-of-the-Art Report in Web-based VisualizationComputer Graphics Forum10.5555/3071534.307158935:3(553-575)Online publication date: 1-Jun-2016
  • (2016)State‐of‐the‐Art Report in Web‐based VisualizationComputer Graphics Forum10.1111/cgf.1292935:3(553-575)Online publication date: 4-Jul-2016
  • (2016)User’s Interpretations of Features in VisualizationComputer Vision, Imaging and Computer Graphics - Theory and Applications10.1007/978-3-319-25117-2_7(97-114)Online publication date: 7-Jan-2016
  • (2015)BrainBrowser: distributed, web-based neurological data visualizationFrontiers in Neuroinformatics10.3389/fninf.2014.000898Online publication date: 13-Jan-2015
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  • (2013)A hybrid visualization system for molecular modelsProceedings of the 18th International Conference on 3D Web Technology10.1145/2466533.2466558(117-120)Online publication date: 20-Jun-2013
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