Abstract
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Smart cities represent a multidisciplinary field that is constantly shaped by the development of technology and urban development. In the literature, smart cities are defined as an ecosystem, that is, they form a system where the whole is more than the sum of its parts and has system properties. Smart city initiatives may also include human capital investments aimed at promoting the learning and innovation capacity of municipalities, supporting and motivating the local population in education, and improving their own lives. In the smart city ecosystem, different stakeholders play different roles in their activities, and governments / municipalities can facilitate the cooperation of different actors. Stakeholders in new ecosystems play a different role and are therefore forced to transform their business models; which also raises new business models in the management of smart cities. One of the most determining factors is the large amount of data generated. E-government is an essential part of a smart city that uses information and communication technologies to transform relationships between government agencies and citizens, businesses and other government agencies to improve better government services, better interactions and the efficiency of government operations. Integrated information technologies play a vital role in smart cities, offering advanced services within the intelligent transport system, building management, energy and environmental monitoring, security, public safety and e-commerce.
Government and local governments are the holders of huge amounts of data, so, with the proper use of big data technologies, they can be able to make cooperation between citizens, businesses and public administrations more efficient, which can increase material and social well-being, competitiveness and it affects every conceivable area of life alike. How can the government / local government utilize the - structured and unstructured - data masses that are generated in the course of its activities by public administration bodies and in the management of settlements, and are produced, shared or made available to them by the settlement population and companies? .
Only a part of the data volume is generated directly by the government / local governments, the other part may be indirectly - as a result of data collection based on a targeted strategy - in the possession of the government and local governments, but can be classified as public data (data assets).
Approaching data management from the point of view of information technology, data management can be defined as a set of procedures ensuring the management of data existing in digital form by IT means. With regard to data management, primary data utilization means the use by public service bodies of data recorded or collected in the framework of the performance of public tasks by the state and local government, regardless of which body recorded or collected or uses these data. In contrast, we oppose secondary data processing if, for some reason, external actors want access to public data. The professional design of data management requires the development of a data asset strategy.
In the study, we are primarily looking for the answer to
- how governmental / administrative tasks relate to the smart city ecosystem,
- which areas of tasks can be supported by e-government,
- which eGovernment data sets can be affected by data management and what relationships can be defined between them,
- What are the data protection challenges in data management?
The method used in the preparation of the study is primarily a literature search, resp. secondary data analysis. The method of processing primarily follows a descriptive method and takes a critical approach.
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