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Identifying Requirements to Model a Data Lifecycle in Smart City Frameworks

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Smart Cities, Green Technologies, and Intelligent Transport Systems (VEHITS 2021, SMARTGREENS 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1612))

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.

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Acknowledgements

This work was supported by the Science Foundation Ireland grant “13/RC/2094” and co-funded under the European Regional Development Fund through the Southern & Eastern Regional Operational Programme to Lero, the Science Foundation Ireland Research Centre for Software (www.lero.ie) and Innovation Value Institute, Maynooth University, Maynooth, Ireland (https://www.maynoothuniversity.ie/innovation-value-institute-ivi).

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  1. Lero, the Science Foundation Ireland Research Centre for Software, Innovation Value Institute, Maynooth University, Maynooth, Ireland

    Claudia Roessing & Markus Helfert

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  1. Claudia Roessing
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  2. Markus Helfert
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Correspondence to Claudia Roessing or Markus Helfert .

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Editors and Affiliations

  1. Siemens, Munich, Germany

    Cornel Klein

  2. RWTH Aachen, Aachen, Germany

    Matthias Jarke

  3. Maynooth University, Maynooth, Kildare, Ireland

    Markus Helfert

  4. Universität Kaiserslautern, Kaiserslautern, Germany

    Karsten Berns

  5. Ford Research and Advanced Engineering, Dearborn, MI, USA

    Oleg Gusikhin

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Roessing, C., Helfert, M. (2022). Identifying Requirements to Model a Data Lifecycle in Smart City Frameworks. In: Klein, C., Jarke, M., Helfert, M., Berns, K., Gusikhin, O. (eds) Smart Cities, Green Technologies, and Intelligent Transport Systems. VEHITS SMARTGREENS 2021 2021. Communications in Computer and Information Science, vol 1612. Springer, Cham. https://doi.org/10.1007/978-3-031-17098-0_2

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