Paper Info
Title
Remote visualization of large datasets with MIDAS and ParaViewWeb
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.
Year
DOI
Venue
2011
10.1145/2010425.2010450
Web3D
Keywords
Field
DocType
knowledge dissemination,data sharing,scientific community,scientific datasets,online parallel visualization framework,remote visualization,digital archiving system,large datasets,online exploration,scientific discovery,scientific data,scientific team,data management
Data science,Scientific discovery,World Wide Web,Information visualization,Visualization,Computer science,Data sharing,Dissemination,Publishing,Knowledge dissemination,Data management
Conference
Citations 
PageRank 
References 
15
0.86
2
Authors
4
Name
Order
Citations
PageRank
Julien Jomier123719.59
Sebastien Jourdain2383.47
Utkarsh Ayachit3875.78
Charles Marion4261.91