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Bridging Workflow and Data Provenance Using Strong Links

  • David Koop
  • Emanuele Santos
  • Bela Bauer
  • Matthias Troyer
  • Juliana Freire
  • Cláudio T. Silva
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6187)

Abstract

As scientists continue to migrate their work to computational methods, it is important to track not only the steps involved in the computation but also the data consumed and produced. While this provenance information can be captured, in existing approaches, it often contains only weak references between data and provenance. When data files or provenance are moved or modified, it can be difficult to find the data associated with the provenance or to find the provenance associated with the data. We propose a persistent storage mechanism that manages input, intermediate, and output data files, strengthening the links between provenance and data. This mechanism provides better support for reproducibility because it ensures the data referenced in provenance information can be readily located. Another important benefit of such management is that it allows caching of intermediate data which can then be shared with other users. We present an implemented infrastructure for managing data in a provenance-aware manner and demonstrate its application in scientific projects.

Keywords

Strong Link Upstream Signature Central Store Data Provenance Provenance Information 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • David Koop
    • 1
  • Emanuele Santos
    • 1
  • Bela Bauer
    • 2
  • Matthias Troyer
    • 2
  • Juliana Freire
    • 1
  • Cláudio T. Silva
    • 1
  1. 1.SCI InstituteUniversity of UtahUSA
  2. 2.Theoretische PhysikETH ZurichSwitzerland

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