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CreatorTitleDescriptionSubjectDate
1 Freire, Juliana; Silva, Claudio T.Provenance for visualizations: reproducibility and beyondThe demand for the construction of complex visualizations is growing in many disciplines of science, as users are faced with ever increasing volumes of data to analyze. The authors present VisTrails, an open source provenance-management system that provides infrastructure for data exploration and ...Provenance management; Reproducibility; VisTrails; Pipelines2007-09
2 Freire, Juliana; Silva, Claudio T.Querying and creating visualizations by analogyWhile there have been advances in visualization systems, particularly in multi-view visualizations and visual exploration, the process of building visualizations remains a major bottleneck in data exploration. We show that provenance metadata collected during the creation of pipelines can be reused ...Provenance; VisTrails; Pipelines; Query-by-example2007-11
3 Freire, Juliana; Silva, Claudio T.VisTrails: enabling interactive multiple-view visualizationsVisTrails is a new system that enables interactive multiple-view visualizations by simplifying the creation and maintenance of visualization pipelines, and by optimizing their execution. It provides a general infrastructure that can be combined with existing visualization systems and libraries. A ke...VisTrails; Dataflows; Pipelines; Provenance management; Interrogative visualization; Caching; Coordinated views2005
4 Freire, Juliana; Silva, Claudio T.End-to-end eScience: integrating workflow, query, visualization, and provenance at an ocean observatoryData analysis tasks at an Ocean Observatory require integrative and and domain-specialized use of database, workflow, visualization systems. We describe a platform to support these tasks developed as part of the cyberinfrastructure at the NSF Science and Technology Center for Coastal Margin Obser...Coastal margins; Ocean observatories; Workflow systems; VisTrails2008-12
5 Freire, Juliana; Silva, Claudio T.Towards enabling social analysis of scientific dataFlickr, Facebook, Yahoo! Pipes), which facilitate collaboration and sharing between users, are becoming increasingly popular. An important benefit of these sites is that they enable users to leverage the wisdom of the crowds. For example, in Flickr, users, in a mass collaboration approach, tag ...Social data analysis; Scientific data; Workflows; Provenance; Pipelines; VisTrails2008
6 Freire, Juliana; Silva, Claudio T.Managing the evolution of dataflows with VisTrailsScientists 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 explor...VisTrails; Dataflows; Provenance management2006
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