Exploring workflow interoperability tools for neuroimaging data analysis

  • Authors:

  • Vladimir Korkhov;Dagmar Krefting;Tamas Kukla;Gabor Z. Terstyanszky;Matthan Caan;Silvia D. Olabarriaga

  • Affiliations:

  • Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands;Charite - Universitätsmedizin Berlin, Berlin, Germany;Centre for Parallel Computing, University of Westminster, London, United Kingdom;Centre for Parallel Computing, University of Westminster, London, United Kingdom;Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands;Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands

  • Venue:
  • Proceedings of the 6th workshop on Workflows in support of large-scale science
  • Year:
  • 2011

Quantified Score

Hi-index 0.00

Visualization

Abstract

Neuroimaging is a field that benefits from distributed computing infrastructures (DCIs) to perform data processing and analysis, which is often achieved using grid workflow systems. Collaborative research in neuroimaging requires ways to facilitate exchange between different groups, in particular to enable sharing, re-use and interoperability of applications implemented as workflows. The SHIWA project provides solutions to facilitate sharing and exchange of workflows between workflow systems and DCI resources. In this paper we present and analyse how the SHIWA platform was used to implement various usage scenarios in which workflow exchange supports collaboration in neuroscience. The SHIWA platform and the implemented solutions are described and analysed from the "user" perspective, in this case the workflow developers and the neuroscientists. We conclude that the platform in its current form is valuable for the foreseen usage scenarios, and we identify remaining challenges concerning management of multiple credentials and data transfers across DCIs.