UniProv: A flexible provenance tracking system for UNICORE

Abstract

In this paper we present a flexible provenance management 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 validate and reproduce tasks and results of their experiments. The primary goal is to equip the commonly used Grid middleware UNICORE [1] 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 [2] Data Model and to map the provenance information properly to a neo4j graph database.