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000827958 041__ $$aEnglish
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000827958 1001_ $$0P:(DE-Juel1)132116$$aGiesler, André$$b0$$eCorresponding author$$ufzj
000827958 1112_ $$aJARA-HPC Symposium, Aachen, Germany, 4 Oct 2016 - 5 Oct 2016$$cAachen$$d2016-10-04 - 2016-10-05$$wGermany
000827958 245__ $$aUniProv: A flexible Provenance Tracking System for UNICORE
000827958 260__ $$aCham$$bSpringer International Publishing$$c2017
000827958 29510 $$aHigh-Performance Scientific Computing / Di Napoli, Edoardo (Editor)   ; Cham : Springer International Publishing, 2017, Chapter 20 ; ISSN: 0302-9743=1611-3349 ; ISBN: 978-3-319-53861-7=978-3-319-53862-4 ; doi:10.1007/978-3-319-53862-4
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000827958 4900_ $$aLecture Notes in Computer Science$$v10164
000827958 520__ $$aIn this paper we present a flexible provenance managment system called UniProv. UniProv is an ongoing development project providing provenance tracking in scientific workflows and data management particularly in the field of neuroscience, thus allowing users to validateand reproduce tasks and results of their experiments. The primary goal is to equip the commonly used Grid middleware UNICORE and its incorporated workflow engine with the provenance capturing mechanism of UniProv. We also explain an approach for using predefined patterns to ensure compatibility with the W3C PROV Data Model and to map the provenance information properly to a neo4j graph database.
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000827958 7001_ $$0P:(DE-Juel1)165674$$aCzekala, Myriam$$b1$$ufzj
000827958 7001_ $$0P:(DE-Juel1)132123$$aHagemeier, Björn$$b2$$ufzj
000827958 7001_ $$0P:(DE-HGF)0$$aGrunzke, Richard$$b3
000827958 773__ $$a10.1007/978-3-319-53862-4_20
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