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Title	Identifying Requirements To Model A Data Lifecycle In Smart City Frameworks
ID_Doc	30090
Authors	Roessing C.; Helfert M.
Year	2022
Published	Communications in Computer and Information Science, 1612 CCIS
DOI	http://dx.doi.org/10.1007/978-3-031-17098-0_2
Abstract	The population in cities has increased, which causes problems when offering services to their citizens. As a way to overcome these issues, information and technology are used to transform a city into smarter. Thousands of gigabytes are created every day and much of this data is used to create products and services. Hence with a vastly amount of data available, a framework is needed to assist organizations in order to understand the flow of data necessary to provide services and products to citizens. Data lifecycles are used for this purpose. However, the literature points out some limitations in the modelling of this framework, and in previous work, these authors started to identify necessary requirements to improve modelling of a data lifecycle [1]. In this work, the authors will provide some insights on data lifecycle modelling limitations, and detail how modelling requirements were identified with aid of a data taxonomy. Furthermore, five smart city frameworks will be analyzed using requirements identified in this study as a reference, as well as a new illustrative use case that uses sensitive information will be presented. © 2022, Springer Nature Switzerland AG.
Author Keywords	Data lifecycle; Data lifecycle modelling; Data lifecycle requirements; Smart city framework

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