Projekt

The MASi service was designed and implemented within the Metadata Management for Applied Sciences (MASi) project. The KIT Data Manager (KIT DM) research data repository framework constitutes a fundamental building block for the MASi service. KIT DM extensions were either directly fed back into the main code trunk, accessible here, or were published as separate modules, available here. Further building blocks include Liferay, Vaadin, Tomcat, ArangoDB, PostgreSQL, ElasticSearch, besides others. The MASi project and the resulting service are described in detail in this Open Access publication.

Partners:

• Technische Universität Dresden, Zentrum für Informations­dienste und Hochleistungs­rechnen (ZIH) - project lead
• Karlsruhe Institute of Technology, Steinbuch Centre for Computing
• Leibniz Institute of Ecological Urban and Regional Development, Monitoring of Settlement and Open Space Development
• RWTH Aachen University, Fachgruppe Chemie
• Technische Universität Darmstadt, Institut für Sprach- und Literaturwissenschaft
• Akademie der Wissenschaften und der Literatur Mainz, Digitale Akademie

Current Project Term:

2015 - 2019

Funding:

German Research Foundation

Public Deliverables:

• Best practices for integrating new communities
• Evaluation of version 1.0

Source Code:

The source code of the developments within MASi are published here.

Publications:

• Prabhune, A.; Zweig, A.; Stotzka, R.; Hesser, J. & Gertz, M.: "P-PIF: a ProvONE provenance interoperability framework for analyzing heterogeneous workflow specifications and provenance traces", Distributed and Parallel Databases, 2018, 36, 219-264.

• Grunzke, R.; Müller, D. K.; Aguilera, A.; Löschen, C.; Marxen, M.; Nagel, W. E.; Müller-Pfefferkorn, R. & Smolka, M. N.: "Towards a Unified Virtual Research Environment for Neurosciences", IWSG 2018 - 10th International Workshop on Science Gateways, 2018.

• Prabhune, A.; Stotzka, R.; Sakharkar, V.; Hesser, J. & Gertz, M.: "MetaStore: an adaptive metadata management framework for heterogeneous metadata models", Distributed and Parallel Databases, 2018, 36, 153-194.

• Grunzke, R.; Hartmann, V.; Jejkal, T.; Kollai, H.; Dressler, C.; Dolhoff, J.; Stanek, J.; Herold, H.; Hoffmann, A.; Müller-Pfefferkorn, R.; Schrade, T.; Herres-Pawlis, S.; Meinel, G. & Nagel, W. E.: "Performance Evaluation of the Metadata-driven MASi Research Data Management Repository Service", 26nd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP 2018), 2018, 334-338.

• Grunzke, R.; Hartmann, V.; Jejkal, T.; Kollai, H.; Prabhune, A.; Herold, H.; Deicke, A.; Dressler, C.; Dolhoff, J.; Stanek, J.; Hoffmann, A.; Müller-Pfefferkorn, R.; Schrade, T.; Meinel, G.; Herres-Pawlis, S. & Nagel, W. E.: "The MASi repository service - comprehensive, metadata-driven and multi-community research data management", Future Generation Computer Systems, 2018.

• Zinner, M.; Rink, K.; Jäkel, R.; Feldhoff, K.; Grunzke, R.; Fischer, T.; Song, R.; Walther, M.; Jejkal, T.; Kolditz, O. & Nagel, W. E.: "Revision Control and Automatic Documentation for the Development Numerical Models for Scientific Applications", International Journal on Advances in Software, 2018, 11.

• Grunzke, R.; Neumann, M.; Ilsche, T.; Hartmann, V.; Jejkal, T.; Stotzka, R.; Knüpfer, A. & Nagel, W. E.: "Design Evaluation of a Performance Analysis Trace Repository", Procedia Computer Science, 2017, 108, 2190 - 2199.

• Zinner, M.; Rink, K.; Jäkel, R.; Feldhoff, K.; Grunzke, R.; Fischer, T.; Song, R.; Walther, M.; Jejkal, T.; Kolditz, O. & Nagel, W. E.: "Automatic Documentation of the Development of Numerical Models for Scientific Applications using Specific Revision Control", ICSEA 2017, The Twelfth International Conference on Software Engineering Advances, 2017, 18-27.

• Grunzke, R.; Hartmann, V.; Jejkal, T.; Prabhune, A.; Herres-Pawlis, S.; Hoffmann, A.; Deicke, A.; Schrade, T.; Herold, H.; Meinel, G.; Stotzka, R. & Nagel, W. E.: "Towards a Metadata-driven Multi-community Research Data Management Service", Proc. of IWSG 2016 (8th International Workshop on Science Gateways), 8-10 June 2016, Rome, Italy, 2017.

• Giesler, A.; Czekala, M.; Hagemeier, B. & Grunzke, R.: "UniProv: A flexible Provenance Tracking System for UNICORE", JARA-HPCS-Symposium 2016 (JHPCS'16), 2017, 233-242.

• Chandna, S.; Rindone, F.; Dachsbacher, C. & Stotzka, R.: "Quantitative exploration of large medieval manuscripts data for the codicological research", Large Data Analysis and Visualization (LDAV), 2016 IEEE 6th Symposium on, 2016, 20-28.

• Grunzke, R.; Krüger, J.; Jäkel, R.; Nagel, W. E.; Herres-Pawlis, S. & Hoffmann, A.: "Metadata Management in the MoSGrid Science Gateway - Evaluation and the Expansion of Quantum Chemistry Support", Journal of Grid Computing, 2017, 15, 41-53.

• Jäkel, R.; Müller-Pfefferkorn, R.; Kluge, M.; Grunzke, R. & Nagel, W. E.: "Architectural Implications for Exascale based on Big Data Workflow Requirements", Big Data and High Performance Computing, IOS Press, 2015, 26, 101 - 113.

• Grunzke, R.; Krüger, J.; Gesing, S.; Herres-Pawlis, S.; Hoffmann, A.; Aguilera, A. & Nagel, W. E.:"Managing Complexity in Distributed Data Life Cycles Enhancing Scientific Discovery", IEEE 11th International Conference on e-Science, 2015, 371-380.

Doctoral Thesis:

• Prabhune, A.: "Generic and Adaptive Metadata Management Framework for Scientific Data Repositories", Doktorarbeit, Heidelberg University, 2018.
• Grunzke, R.: "Generic Metadata Handling in Scientific Data Life Cycles", Doktorarbeit, Technische Universität Dresden, 2016.
• Yang, X.: "Precise and Automated Tomographic Reconstruction with a Limited Number of Projections", Doktorarbeit, Karlsruhe Institute of Technology, 2016.