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Exploring Workflow Interoperability for Neuroimage Analysis on the SHIWA Platform · Study

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ArticleExploring Workflow Interoperability for Neuroimage Analysis on the SHIWA Platform

Vladimir Vladislavovich Korkhov2013

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Exploring Workflow Interoperability for Neuroimage Analysis on the SHIWA Platform

Vladimir Vladislavovich Korkhov · Dagmar Krefting · Tamas Kukla · Gabor Z. Terstyanszky · Matthan W.A. Caan · Sílvia D. Olabarriaga

7 citations·0/0 files stored·Journal of Grid Computing

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Scientific Computing and Data Management Research Data Management Practices Distributed and Parallel Computing Systems

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References

2010Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences 2005Scientific workflow management and the Kepler system 2005Taverna: lessons in creating a workflow environment for the life sciences 2008The design and realisation of the Virtual Research Environment for social sharing of workflows 2003The LONI Pipeline Processing Environment 2007The Triana Workflow Environment: Architecture and Applications 2007Scientific versus Business Workflows 2009Three fundamental dimensions of scientific workflow interoperability: Model of computation, language, and execution environment

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2011Exploring workflow interoperability tools for neuroimaging data analysisother · 6 shared references 2009Three fundamental dimensions of scientific workflow interoperability: Model of computation, language, and execution environmentarticle · 5 shared references 2017Scientific workflows: Past, present and futureeditorial · 4 shared references 2016Scientific Workflowsarticle · 4 shared references 2010CaGrid Workflow Toolkit: A taverna based workflow tool for cancer gridarticle · 4 shared references 2012Scientific Workflow, Provenance, and Data Modeling Challenges and Approachesarticle · 4 shared references

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Year2013

Typearticle

Published2013-06-07

VenueJournal of Grid Computing

ISSN-L1570-7873

Languageen

Citations7

Files0 public / 0

ShelfScientific Computing and Data Management

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doi10.1007/s10723-013-9262-7

openalex_workW2005383923

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