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

被引:0
作者
de Magalhaes Santos, Larissa Galdino [1 ]
Madaleno, Catarina [1 ]
机构
[1] United Nat Univ, Operating Unit Policy Driven Elect Governance, P-4810225 Guimaraes, Portugal
来源
INFORMATION SYSTEMS, PT 2, EMCIS 2023 | 2024年 / 502卷
关键词
Open Data; Data Analytics; Data Science; Smart Cities; Public Sector; BIG DATA ANALYTICS;
D O I
10.1007/978-3-031-56481-9_1
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:3 / 15
页数:13
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