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Data Analytics and Data Science: Unlocking the Open Data Potential of Smart Cities

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Information Systems (EMCIS 2023)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 502))

Abstract

This article explores the integration of innovative data-driven technologies into digital governance at the local level, with a focus on open data, smart cities, and public sector data analytics and processing. Governments globally strive for digital transformation with emerging technologies, and data play a crucial role in improving service delivery and decision-making processes at the local level. However, there needs to be a proper debate about data analytics and data science in the public sector and the crucial aspects of smart cities’ interoperability and open data governance. This research aims to fill this gap, proposing a systematic approach to connect and link these innovations, promoting interoperability and data governance at the local level. Based on a multi-method literature analysis, including Portugal's remarkable digitalization journey, this study sheds light on the importance of comprehensive data analytics in the public sector. The findings indicate that the existing debate on data analytics in the public sector needs more depth and synergy from the point of view of data analytics techniques. By presenting propositions on the challenges for interoperability and open data governance of smart cities, this article provides valuable information for policymakers, decision-makers, and implementers looking for solutions to governance challenges at the local level.

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Notes

  1. 1.

    The cases in Portugal were mapped as the platform is a product of the project in partnership with the Regional Coordination and Development Commission for the North of Portugal “INOV. EGOV-Innovation in Digital Governance for Inclusive, Resilient and Sustainable Societies”.

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Acknowledgments

This study was funded by project “INOV.EGOV-Digital Governance Innovation for Inclusive, Resilient and Sustainable Societies NORTE-01–0145-FEDER-000087”, supported by Norte Portugal Regional Operational Program (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (EFDR).

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Authors and Affiliations

  1. Operating Unit on Policy-Driven Electronic Governance, United Nations University, 4810225, Guimarães, Portugal

    Larissa Galdino de Magalhães Santos & Catarina Madaleno

Authors
  1. Larissa Galdino de Magalhães Santos
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  2. Catarina Madaleno
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Corresponding author

Correspondence to Larissa Galdino de Magalhães Santos .

Editor information

Editors and Affiliations

  1. British University in Dubai, Dubai, United Arab Emirates

    Maria Papadaki

  2. University of Nicosia, Nicosia, Cyprus

    Marinos Themistocleous

  3. British University in Dubai, Dubai, United Arab Emirates

    Khalid Al Marri

  4. Dubai Blockchain Center, Dubai, United Arab Emirates

    Marwan Al Zarouni

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de Magalhães Santos, L.G., Madaleno, C. (2024). Data Analytics and Data Science: Unlocking the Open Data Potential of Smart Cities. In: Papadaki, M., Themistocleous, M., Al Marri, K., Al Zarouni, M. (eds) Information Systems. EMCIS 2023. Lecture Notes in Business Information Processing, vol 502. Springer, Cham. https://doi.org/10.1007/978-3-031-56481-9_1

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  • DOI: https://doi.org/10.1007/978-3-031-56481-9_1

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-031-56481-9

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