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Authors: M. Amin Yazdi ; David Schimmel ; Marcel Nellesen ; Marius Politze and Matthias Müller

Affiliation: IT Center, RWTH Aachen University, Aachen, Germany

Keyword(s): Pre-processing Pipeline, Web Application, Research Data Management, Data Analysis, Process Mining, Requirement Engineering.

Abstract: Research Data Management (RDM) systems are becoming an essential part of every researcher’s academic career. Often, researchers use various resources and web applications to handle their research data, causing complications for maintaining data and assessing research projects against FAIR principles. Consequently, RDM platforms help researchers with data administration tasks while providing the necessary tools for managing research projects. Furthermore, user engagement with such RDM platforms leaves traces of user interaction with research data; thus, studying user behaviors over research data becomes an exciting territory. However, running periodic data analysis studies proves to be a time-consuming and challenging task and requires the help of scientific staff to run pre-and post-processing pipelines per use case in order to be able to produce results that are usable by domain experts. This paper introduces Data Analysis for Research Data Management systems (DA4RDM) as a scalable web application that supports reusing pre-defined pre-and post-processing pipelines to enable domain experts to utilize the system without the need for scientific expertise. We use real data acquired from an RDM system, explain the tool’s applicability, and present the preliminary findings, demonstrating its use cases and capabilities. (More)

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Paper citation in several formats:
Yazdi, M.; Schimmel, D.; Nellesen, M.; Politze, M. and Müller, M. (2021). DA4RDM: Data Analysis for Research Data Management Systems. In Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2021) - KMIS; ISBN 978-989-758-533-3; ISSN 2184-3228, SciTePress, pages 177-183. DOI: 10.5220/0010678700003064

@conference{kmis21,
author={M. Amin Yazdi. and David Schimmel. and Marcel Nellesen. and Marius Politze. and Matthias Müller.},
title={DA4RDM: Data Analysis for Research Data Management Systems},
booktitle={Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2021) - KMIS},
year={2021},
pages={177-183},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010678700003064},
isbn={978-989-758-533-3},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2021) - KMIS
TI - DA4RDM: Data Analysis for Research Data Management Systems
SN - 978-989-758-533-3
IS - 2184-3228
AU - Yazdi, M.
AU - Schimmel, D.
AU - Nellesen, M.
AU - Politze, M.
AU - Müller, M.
PY - 2021
SP - 177
EP - 183
DO - 10.5220/0010678700003064
PB - SciTePress