Towards Data Ecosystems in Smart Cities: Success Factors of Urban Data Spaces

Josh Haberkern, Thomas Schäffer

2023

Abstract

In planning and designing public urban services, cities are increasingly relying on digital systems and data. Urban Data Spaces represent the data ecosystem of a city or region, bringing together municipalities, municipal companies, citizens, and businesses. They enable the development and management of data-driven services and aim to combat siloed data storage and usage. The main goal of this research paper is to examine the success factors for public sector stakeholders in creating and managing Urban Data Spaces. Using a multi-method approach (literature analysis, expert interviews, focus groups, and survey), we identified, validated, and quantified 23 success factors. The success factors were categorized into five dimensions: Platform Design, Platform Governance, Technical Platform Design, Platform Management Capabilities, and Stakeholder Involvement. Key findings are: A shared vision of an open and interoperable Urban Data Space, supported by a Life Cycle Management enables public management to benefit from data-driven services and become more sustainable. In addition, a cross-organizational data governance and strategy with a focus on the development of data competence and data quality management form the foundation of those Data Ecosystems. Based on the identified success factors, this article presents recommendations for scientists and practitioners.

Paper Citation

in Harvard Style

Haberkern J. and Schäffer T. (2023). Towards Data Ecosystems in Smart Cities: Success Factors of Urban Data Spaces. In Proceedings of the 12th International Conference on Data Science, Technology and Applications - Volume 1: DATA; ISBN 978-989-758-664-4, SciTePress, pages 548-558. DOI: 10.5220/0012136200003541

in Bibtex Style

@conference{data23,
author={Josh Haberkern and Thomas Schäffer},
title={Towards Data Ecosystems in Smart Cities: Success Factors of Urban Data Spaces},
booktitle={Proceedings of the 12th International Conference on Data Science, Technology and Applications - Volume 1: DATA},
year={2023},
pages={548-558},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012136200003541},
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 - Towards Data Ecosystems in Smart Cities: Success Factors of Urban Data Spaces
SN - 978-989-758-664-4
AU - Haberkern J.
AU - Schäffer T.
PY - 2023
SP - 548
EP - 558
DO - 10.5220/0012136200003541
PB - SciTePress