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Towards Municipal Data Utilities: Experiences Regarding the Development of a Municipal Data Utility for Intra- and Intermunicipal Actors within the German City of Mainz

Authors :
Philipp Lämmel
Jonas Merbeth
Tim Cleffmann
Lukas Koch
Source :
Smart Cities, Vol 7, Iss 3, Pp 1289-1303 (2024)
Publication Year :
2024
Publisher :
MDPI AG, 2024.

Abstract

This paper describes the requirements analysis phase towards the establishment and implementation of a municipal data utility (KDW = Kommunales Datenwerk, German) to facilitate data sharing between intra- and intermunicipal stakeholders. Against the backdrop of increasing digitisation and the growing importance of data-driven decision making in municipal governance, this paper aims to address the pressing need for efficient data management solutions within and across municipalities. Based on a structured self-developed methodology, the authors use a qualitative research approach: the paper examines the experiences and challenges encountered during the requirements phase, the design phase, and the development phase of the KDW. The findings indicate that the establishment of a robust KDW requires (1) extensive stakeholder engagement, (2) clear governance structures, and (3) a robust technical infrastructure. In addition, the study highlights the critical importance of establishing a sound legal framework that addresses data ownership, privacy, security and regulatory compliance. Addressing legal and regulatory barriers to data sharing is paramount to the successful implementation and operation of the KDW. The paper concludes by highlighting the potential benefits of KDWs and outlining future work. The overall methodology, approach, and outcome are validated within the city of Mainz, and the lessons learned are accommodated in the insights presented in the rest of the paper.

Details

Language :
English
ISSN :
26246511
Volume :
7
Issue :
3
Database :
Directory of Open Access Journals
Journal :
Smart Cities
Publication Type :
Academic Journal
Accession number :
edsdoj.f782c4650d64c0ba1d1b501ee66e272
Document Type :
article
Full Text :
https://doi.org/10.3390/smartcities7030054