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Managing Discipline-Specific Metadata Within an Integrated Research Data Management System

Topics: Business-It Allignment; Coupling and Integrating Heterogeneous Data Sources; Human Factors; Interoperability; Knowledge Management; Ontology Engineering; Organisational Issues on Systems Integration; Semantic Web Technologies and Applications; Software Engineering; Tools, Techniques and Methodologies for System Development

Authors: Marius Politze ; Sarah Bensberg and Matthias Müller

Affiliation: IT Center, RWTH Aachen University, Templergraben 55, Aachen and Germany

Keyword(s): Semantic Web, Linked Data, Knowlegde Graph, Service Oriented Architecture, Web Service, Data Repository.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Cloud Computing ; Collaboration and e-Services ; Complex Systems Modeling and Simulation ; Coupling and Integrating Heterogeneous Data Sources ; Data Engineering ; Databases and Information Systems Integration ; e-Business ; Enterprise Information Systems ; Health Information Systems ; Human Factors ; Human-Computer Interaction ; Information Systems Analysis and Specification ; Integration/Interoperability ; Interoperability ; Knowledge Engineering and Ontology Development ; Knowledge Management ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Ontologies and the Semantic Web ; Ontology Engineering ; Organisational Issues on Systems Integration ; Physiological Computing Systems ; Semantic Web Technologies ; Sensor Networks ; Services Science ; Simulation and Modeling ; Society, e-Business and e-Government ; Software Agents and Internet Computing ; Software and Architectures ; Software Engineering ; Symbolic Systems ; Tools, Techniques and Methodologies for System Development ; Web Information Systems and Technologies

Abstract: Our university intends to improve the central IT-support for management of research data. A core demand is supporting FAIR guiding principles. In order to make research data findable for future research projects, an application for the creation and storage of structured meta data for research data was developed. The created meta data repository enable creating, maintaining and querying research data based on discipline-specific properties. Since large number of meta data standards exist for different scientific domains, technologies from the areas of Linked Data and Semantic Web are used to process and store meta data. This work describes the requirements, the design and the implementation a the meta data application that can be integrated into existing research work flows and gives an overview of technical backgrounds used for creating the meta data repository.

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Paper citation in several formats:
Politze, M.; Bensberg, S. and Müller, M. (2019). Managing Discipline-Specific Metadata Within an Integrated Research Data Management System. In Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-758-372-8; ISSN 2184-4992, pages 253-260. DOI: 10.5220/0007725002530260

@conference{iceis19,
author={Marius Politze. and Sarah Bensberg. and Matthias Müller.},
title={Managing Discipline-Specific Metadata Within an Integrated Research Data Management System},
booktitle={Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2019},
pages={253-260},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007725002530260},
isbn={978-989-758-372-8},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - Managing Discipline-Specific Metadata Within an Integrated Research Data Management System
SN - 978-989-758-372-8
IS - 2184-4992
AU - Politze, M.
AU - Bensberg, S.
AU - Müller, M.
PY - 2019
SP - 253
EP - 260
DO - 10.5220/0007725002530260

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