This title appears in the Scientific Report :
2017
Please use the identifier:
http://dx.doi.org/10.1007/978-3-319-53862-4_20 in citations.
UniProv: A flexible Provenance Tracking System for UNICORE
UniProv: A flexible Provenance Tracking System for UNICORE
In 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 result...
Saved in:
Personal Name(s): | Giesler, André (Corresponding author) |
---|---|
Czekala, Myriam / Hagemeier, Björn / Grunzke, Richard | |
Contributing Institute: |
Jülich Supercomputing Center; JSC |
Published in: |
High-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 |
Imprint: |
Cham
Springer International Publishing
2017
|
Physical Description: |
233-242 |
ISBN: |
978-3-319-53861-7 978-3-319-53862-4 (electronic) |
DOI: |
10.1007/978-3-319-53862-4_20 |
Conference: | JARA-HPC Symposium, Aachen, Germany, 4 Oct 2016 - 5 Oct 2016, Aachen (Germany), 2016-10-04 - 2016-10-05 |
Document Type: |
Contribution to a book Contribution to a conference proceedings |
Research Program: |
Data-Intensive Science and Federated Computing |
Series Title: |
Lecture Notes in Computer Science
10164 |
Publikationsportal JuSER |
In 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. |