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Enhancing the data lifecycle modelling in smart city architectures

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Project Description:
In a smart city, a huge amount of data is collected from different sources and from different providers, therefore various challenges and concerns arise from the data management perspective of view. This research proposes the improvement of how data lifecycles are modelled in order to show the transformation of data throughout the process, from its collection, processing, and service delivery to the end-user, also showing the various stakeholders involved in the process.

Researchers: Claudia Roessing, Markus Helfert

Funding: SFI/Lero

Collaboration / Partners: Raiffeisenlandesbank Oberösterreich

Timeframe: 2019-2021

About the Researchers: