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

Marius Politze, Sarah Bensberg, Matthias Müller

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.

Download


Paper Citation


in Harvard Style

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, pages 253-260. DOI: 10.5220/0007725002530260


in Bibtex Style

@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},
}


in EndNote Style

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
AU - Politze M.
AU - Bensberg S.
AU - Müller M.
PY - 2019
SP - 253
EP - 260
DO - 10.5220/0007725002530260