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.
Machine summary:
Perspectives of Big Data Quality in Smart Service Ecosystems (Quality of Design and Quality of Conformance) Markus Helfert Ph. D.
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.
The aim of this paper is to model and analyze BDQ in smart service ecosystems, as well as derive indications for managing the value of Big Data.
We believe that the Helfert & Heinrich (2003) model that highlights the importance of conformance to specification and quality of design, is an important contribution to data quality research and builds an excellent foundation for this paper in the context of BDQ.
Due to the emphasis on Information and Communication Technologies (ICT) in our work, we have adopted the definition of a Smart City from International Telecommunications Union as: “An innovative city that uses ICTs and other means to improve quality of life, efficiency of urban operations and services, and competitiveness, while ensuring that it meets the needs of present and future generations with respect to economic, social, environmental as well as cultural aspects” (ITU, 2014).
In the context of smart cities, we can observe that when the three characteristics of Big Data change, how they impact the quality of conformance and design.