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

Author:

Lämmel Philipp1ORCID,Merbeth Jonas2,Cleffmann Tim2,Koch Lukas2

Affiliation:

1. Fraunhofer Institute for Open Communication Systems FOKUS, Kaiserin-Augusta-Allee 31, D-10589 Berlin, Germany

2. Daten-Kompetenzzentrum für Städte und Regionen DKSR GmbH, Winterdeldtstraße 21, D-10781 Berlin, Germany

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.

Funder

German Federal Ministry for Digital and Transport

Publisher

MDPI AG

Reference35 articles.

1. Raghavan, S., Simon, B.Y.L., Lee, Y.L., Tan, W.L., and Kee, K.K. (2020). Computational Science and Technology, Proceedings of the 6th ICCST 2019, Kota Kinabalu, Malaysia, 29–30 August 2019, Springer.

2. DKSR (2024, February 02). (Inter-)Kommunale Datenwerke–KDW. Available online: https://bmdv.bund.de/SharedDocs/DE/Artikel/DG/mfund-projekte/kwd.html.

3. He, W., Li, W., and Deng, P. (2022). Legal Governance in the Smart Cities of China: Functions, Problems, and Solutions. Sustainability, 14.

4. Elvas, L.B., Ferreira, J.C., Dias, M.S., and Rosário, L.B. (2023). Health Data Sharing towards Knowledge Creation. Systems, 11.

5. Šestak, M., and Copot, D. (2023). Towards Trusted Data Sharing and Exchange in Agro-Food Supply Chains: Design Principles for Agricultural Data Spaces. Sustainability, 15.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3