Towards a Data-driven City: An Analysis of Cities' Data Strategies
- Smart cities are considered data factories that generate an enormous amount of data from various sources. In fact data is the backbone of any smart services. Therefore, the strategic beneficial handling of this digital capital is crucial for cities. Some smart city pioneers have already written down their approach to data in the form of data strategies, but what should a city's data strategy include, and how can the goals and measures defined in the strategies be operationalized? This paper addresses these questions by looking closely at the data strategies of cities in Germany and the top three countries in the EU Digital Economy and Society Index. The in-depth analysis of 8 city data strategies has yielded 11 dimensions that cities should consider in their data strategy. These are relevance of data, principles, methods, data sharing, technology, data culture, data ethics, organizational structure, data security and privacy, collaborations, data literacy. In addition, data governance is a concept to put these 11 strategic dimensions into practice through standardization measures, training programs, and defining roles and responsibilities by developing a data catalog.
Author of HS Reutlingen | Bozkurt, Yusuf; Flaisch, Simon; Hertweck, Dieter; Rossmann, Alexander |
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DOI: | https://doi.org/10.33965/mccsis2023_202305l024 |
ISBN: | 978-989-8704-50-4 |
Erschienen in: | Proceedings of the 16th International Conference on ICT, Society and Human Beings (ICT 2023), the 15th International Conference on e-Health (EH 2023), the 9th International Conference on Connected Smart Cities (CSC 2023) and of the 8th International Conference on Big Data Analytics, Data Mining and Computational Intelligence (BigDaCI 2023) |
Publisher: | International Association for Development of the Information Society |
Place of publication: | Lissabon |
Document Type: | Conference proceeding |
Language: | English |
Publication year: | 2023 |
Page Number: | 9 |
First Page: | 208 |
Last Page: | 216 |
DDC classes: | 004 Informatik |
Open access?: | Nein |
Licence (German): | ![]() |