Managing the Evolution of Dataflows with VisTrails

Steven P. Callahan; Juliana Freire; Erlan Santos-Gonzalez; Carlos Scheidegger; C.T. Silva; Huy T. Vo

doi:10.1109/icdew.2006.75

January 1, 2006

Managing the Evolution of Dataflows with VisTrails

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Key Points

To establish an infrastructure for managing the iterative evolution of complex dataflows and multi-step visualization pipelines during exploratory scientific analysis.
Structured scientific data exploration into modular stages comprising dataset selection, sequential computational operations, and visual output rendering.
Integrated history-tracking mechanisms within the VisTrails system to monitor modifications across evolving exploratory workflows.
Facilitates exploratory analysis by automatically organizing changes in complex scientific workflows across iterations.
Enables hypothesis validation through the side-by-side comparative inspection of alternate visualization pipelines and intermediate data states.

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Implication

System design reveals structured workflow tracking for complex scientific dataflows, highlighting improved comparative visualization and hypothesis validation.

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Callahan et al. (2006) studied this question.

synapsesocial.com/papers/6a0a8c2553905a628c7094ba https://doi.org/10.1109/icdew.2006.75

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Managing the Evolution of Dataflows with VisTrails

Key Points

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Implication

Abstract

Discussion

Cite This Study

Managing the Evolution of Dataflows with VisTrails

Key Points

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Implication

Abstract

Discussion

Cite This Study

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