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ZOOM*UserViews: Provenance in Scientific Workflows

Executive Summary

Scientific experiments are becoming increasingly large and complex, with a commensurate increase in the amount and complexity of data generated. Data, both intermediate and final results, is derived by chaining and nesting together multiple database searches and analytical tools. In many cases, the means by which the data are produced is not known, making the data difficult to interpret and the experiment impossible to reproduce. Provenance in scientific workflows is thus of paramount importance.

You can find more details about the subproject and try the prototype from the project WIKI

Some references

  • Addressing the Provenance Challenge using ZOOM [.pdf] 
    Concurrency and Computation: Practice and Experience, Special Issue : The First Provenance Challenge(April 2008), 20(5):497 - 506 (2008)
    Sarah Cohen Boulakia   Olivier Biton   Shirley Cohen   Susan Davidson   

  • Querying and Managing Provenance through User Views in Scientific Workflows
    International Conference on Data Engineering (ICDE) (2008)
    Olivier Biton   Sarah Cohen Boulakia   Susan Davidson   Carmem Hara   

  • Zoom*UserViews: Querying Relevant Provenance in Workflow Systems
    International Conference on Very Large Databases (VLDB)(demo) (2007)
    Olivier Biton   Sarah Cohen Boulakia   Susan Davidson   

  • Provenance in Scientific Workflow Systems
    IEEE Data Engineering Bulletin, 30(4): 44-50, December 2007 (2007)
    Susan Davidson   Sarah Cohen Boulakia   Anat Eyal   Bertram Lud¨ascher   Timothy McPhillips   Shawn Bowers   Manish Kumar Anand   Juliana Freire   

  • A Model for User-Oriented Data Provenance in Pipelined Scientific Workflows [.pdf] 
    International Provenance and Annotation Workshop (IPAW) (2006)
    Shawn Bowers   Timothy McPhillips   Bertram Ludascher   Shirley Cohen   Susan Davidson   

  • Towards a Model of Provenance and User Views in Scientific Workflows [.pdf] 
    International Workshop on Data Integration in the Life Sciences (DILS), Data Integration for the Life Sciences, Springer-Verlag, Lecture Notes in Bioinformatics (LNBI), Num. 4075, pp. 264-279. (2006)
    Shirley Cohen   Sarah Cohen Boulakia   Susan Davidson   

Project Members

Shirley Cohen   Sarah Cohen Boulakia   Susan Davidson   Olivier Biton   Zhuowei Bao   Carmem Hara   Sanjeev Khanna   Anat Eyal   Thunyarat (Bam) Amornpetchkul   Sudeepa Roy   

Funding

This material is based upon work supported by the National Science Foundation* under Grant No. 0612177.

*Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.


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Last update: 08/02/11     Comments