Towards next generation provenance systems for e-Science

Fakhri Alam Khan, Sardar Hussain, Ivan Janciak, Peter Brezany

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


E-Science helps scientists to automate scientific discovery processes and experiments, and promote collaboration across organizational boundaries and disciplines. These experiments involve data discovery, knowledge discovery, integration, linking, and analysis through different software tools and activities. Scientific workflow is one technique through which such activities and processes can be interlinked, automated, and ultimately shared amongst the collaborating scientists. Workflows are realized by the workflow enactment engine, which interprets the process definition and interacts with the workflow participants. Since workflows are typically executed on a shared and distributed infrastructure, the information on the workflow activities, data processed, and results generated (also known as provenance), needs to be recorded in order to be reproduced and reused. A range of solutions and techniques have been suggested for the provenance of data collection and analysis; however, these are predominantly workflow enactment engine and domain dependent. This paper includes taxonomy of existing provenance techniques and a novel solution named VePS (The Vienna e-Science Provenance System) for e-Science provenance collection.

Original languageEnglish
Pages (from-to)24-48
Number of pages25
JournalInternational Journal of Information System Modeling and Design
Issue number3
StatePublished - Jul 2011
Externally publishedYes


  • E-Science
  • Middleware
  • Provenance
  • Workflow
  • Workflow Enactment Engine

ASJC Scopus subject areas

  • Information Systems
  • Management of Technology and Innovation


Dive into the research topics of 'Towards next generation provenance systems for e-Science'. Together they form a unique fingerprint.

Cite this