Perspectives of Big Data Quality in Smart Service Ecosystems (Quality of Design and Quality of Conformance)

Document Type: Research Paper

Authors

1 Ph.D., Head of Business Informatics Group, Department of Computing, Dublin City University, Dublin, Ireland.

2 Associate Professor, Department of Computer Systems and Communications, Faculty of Informatics, Masaryk University, Brno, Czech Republic.

Abstract

Despite the increasing importance of data and information quality, current research related to Big Data quality is still limited. It is particularly unknown how to apply previous data quality models to Big Data. In this paper we review Big Data quality research from several perspectives and apply a known quality model with its elements of conformance to specification and design in the context of Big Data. Furthermore, we extend this model and demonstrate it utility by analyzing the impact of three Big Data characteristics such as volume, velocity and variety in the context of smart cities. This paper intends to build a foundation for further empirical research to understand Big Data quality and its implications in the design and execution of smart service ecosystems.

Keywords


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