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

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

• Addressing the Provenance Challenge using ZOOM [.pdf] 
  Concurrency and Computation: Practice and Experience, Wiley InterScience (2007)
  Sarah Cohen Boulakia   Olivier Biton   Shirley Cohen   Susan Davidson   
  

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

• Towards a Model of Provenance and User Views in Scientific Workflows [.pdf] 
  DILS'06, 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

Funding