Perspectives of Big Data Quality in Smart Service Ecosystem

This publication doesn't include Faculty of Arts. It includes Faculty of Informatics. Official publication website can be found on muni.cz.

Authors

HELFERT Markus GE Mouzhi

Year of publication 2018
Type Article in Periodical
Magazine / Source Journal of Information Technology Management
MU Faculty or unit

Faculty of Informatics

Citation
Web http://dx.doi.org/10.22059/JITM.2019.72763
Doi http://dx.doi.org/10.22059/JITM.2019.72763
Keywords Big data quality; Information quality; Smart cities; Service design; Smart services; Data quality model; Smart service ecosystem
Description 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.