Provenance for Visualizations: Reproducibility and Beyond
Computing in Science and Engineering
Querying and Creating Visualizations by Analogy
IEEE Transactions on Visualization and Computer Graphics
A three tier architecture applied to LiDAR processing and monitoring
Scientific Programming - Scientific Workflows
Towards Provenance-Enabling ParaView
Provenance and Annotation of Data and Processes
Workflows and e-Science: An overview of workflow system features and capabilities
Future Generation Computer Systems
Web enabling desktop workflow applications
Proceedings of the 4th Workshop on Workflows in Support of Large-Scale Science
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IEEE Computer Graphics and Applications - Special issue on creating musical-fountain shows virtual reality for the Digital Olympic Museum
Project histories: managing data provenance across collection-oriented scientific workflow runs
DILS'07 Proceedings of the 4th international conference on Data integration in the life sciences
Exploring repositories of scientific workflows
Proceedings of the 1st International Workshop on Workflow Approaches to New Data-centric Science
Provenance management for data exploration
DILS'10 Proceedings of the 7th international conference on Data integration in the life sciences
A workflow based process visual analyzer (ProVisZer) for teaching and learning
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part II
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Proceedings of the 5th India Software Engineering Conference
Provenance collection support in the kepler scientific workflow system
IPAW'06 Proceedings of the 2006 international conference on Provenance and Annotation of Data
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IPAW'06 Proceedings of the 2006 international conference on Provenance and Annotation of Data
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IPAW'06 Proceedings of the 2006 international conference on Provenance and Annotation of Data
Search and result presentation in scientific workflow repositories
Proceedings of the 25th International Conference on Scientific and Statistical Database Management
Semantics and Planning Based Workflow Composition for Video Processing
Journal of Grid Computing
Environmental Modelling & Software
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Scientists are now faced with an incredible volume of data to analyze. To successfully analyze and validate various hypotheses, it is necessary to pose several queries, correlate disparate data, and create insightful visualizations of both the simulated processes and observed phenomena. Data exploration through visualization requires scientists to go through several steps. In essence, they need to assemble complex workflows that consist of dataset selection, specification of series of operations that need to be applied to the data, and the creation of appropriate visual representations, before they can finally view and analyze the results. Often, insight comes from comparing the results of multiple visualizations that are created during the data exploration process.