Rigor in Applied Data Science Research Based on DSR: A Literature Review

Daniel Szafarski, Tobias Schmieg, Laslo Welz, Thomas Schäffer

2023

Abstract

Design Science Research (DSR) enjoys increasing popularity in the field of information systems due to its practical relevance and focus on design. A study from 2012 shows that DSR publications in general have a weak rigor in connection with the selection and use of research methods. At the same time, there has also been a recent increase in Data Science publications based on the paradigm of DSR. Therefore, this study analyzes the rigor and the specific characteristics of the application of DSR based on 62 publications from this field. Major deficits are observed in a large part of the sample regarding the rigorous documentation of the scientific process as well as the selection and citation of adequate research methods. Overall 77.4% of the analyzed publications were therefore characterized as weak in regard to their rigor. One explanation is the novel combination of DSR and Data Science together with the speed at which new findings are obtained and published.

Paper Citation

in Harvard Style

Szafarski D., Schmieg T., Welz L. and Schäffer T. (2023). Rigor in Applied Data Science Research Based on DSR: A Literature Review. In Proceedings of the 12th International Conference on Data Science, Technology and Applications - Volume 1: DATA; ISBN 978-989-758-664-4, SciTePress, pages 126-135. DOI: 10.5220/0012122300003541

in Bibtex Style

@conference{data23,
author={Daniel Szafarski and Tobias Schmieg and Laslo Welz and Thomas Schäffer},
title={Rigor in Applied Data Science Research Based on DSR: A Literature Review},
booktitle={Proceedings of the 12th International Conference on Data Science, Technology and Applications - Volume 1: DATA},
year={2023},
pages={126-135},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012122300003541},
isbn={978-989-758-664-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Data Science, Technology and Applications - Volume 1: DATA
TI - Rigor in Applied Data Science Research Based on DSR: A Literature Review
SN - 978-989-758-664-4
AU - Szafarski D.
AU - Schmieg T.
AU - Welz L.
AU - Schäffer T.
PY - 2023
SP - 126
EP - 135
DO - 10.5220/0012122300003541
PB - SciTePress