Provenance-enabled data exploration and visualization with vistrails

Cláudio Silva, Juliana Freire, Emanuele Santos, Erik Anderson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Scientists are now faced with an incredible volume of data to analyze. To explore and understand the data, they need to assemble complex workflows (pipelines) to manipulate the data and create insightful visual representations. Provenance is essential in this process. The provenance of a digital artifact contains information about the process and data used to derive the artifact. This information is essential to preserve the data, to determining the data's quality and authorship, as well as for reproducing and validating results-all important elements of the scientific process. In this survey, we aim to inform computational and visualization scientists, users and developers about different approaches to provenance management. Using the VisTrails system as a basis and real application scenarios, we will cover different approaches to acquiring and reusing provenance, including techniques that attendees can use to provenance-enable their own tools. We will also present a series operations and user interfaces that leverage provenance for tasks that go beyond reproducibility, such as aiding users in the process of pipeline design and refinement, in performing comparative analysis and visualization, supporting collaborative data exploration as well as the publication of documented, reproducible results.

Original languageEnglish (US)
Title of host publicationProceedings - 23rd Conference on Graphics, Patterns and Images Tutorials, SIBGRAPI-T 2010
Pages1-9
Number of pages9
DOIs
StatePublished - 2010
Event23rd Conference on Graphics, Patterns and Images Tutorials, SIBGRAPI-T 2010 - Gramado, Brazil
Duration: Aug 30 2010Sep 3 2010

Publication series

NameProceedings - 23rd Conference on Graphics, Patterns and Images Tutorials, SIBGRAPI-T 2010

Other

Other23rd Conference on Graphics, Patterns and Images Tutorials, SIBGRAPI-T 2010
CountryBrazil
CityGramado
Period8/30/109/3/10

Keywords

  • comparative visualization
  • data exploration
  • provenance
  • visualization systems

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition

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  • Cite this

    Silva, C., Freire, J., Santos, E., & Anderson, E. (2010). Provenance-enabled data exploration and visualization with vistrails. In Proceedings - 23rd Conference on Graphics, Patterns and Images Tutorials, SIBGRAPI-T 2010 (pp. 1-9). [5756325] (Proceedings - 23rd Conference on Graphics, Patterns and Images Tutorials, SIBGRAPI-T 2010). https://doi.org/10.1109/SIBGRAPI-T.2010.9