Certifying data quality conformance

Abstract

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Many researchers and practitioners have been attracted to improve data quality due to its monumental importance as a key success factor. Mathematical and statistical models have been deployed to information systems to introduce constrain and transaction based mechanisms to prevent data quality related problems. Entire management of the process and roles involved in data generation has also been scrutinized. Vast amount of knowledge base has been progressed in this area; however, most of the approaches are limited from practical perspective. System development process incorporating quality modelling is rarely integrated. Quality related meta data is absent from most information system. Neither process mapping nor data modelling provides sufficient provision to measure quality or certification of data in the information systems. Furthermore, ongoing monitoring of data for quality conformance through a separate process is expensive and time consuming. Recognising this limitation and aiming to provide a practical-orient comprehensive approach, we propose a process centric quality focused system design incorporating data product quality, conformance monitoring and certification. In this paper we focus on the self certification of data quality based on our earlier work on the process centric framework for ongoing data quality monitoring.