In this paper, we outline the HDQ meta-model and exemplify its application to a realistic organizational scenario within a methodology for assessing and improving corporate data quality. The main aim of the HDQ meta-model is to support the modeling of the information resources used within an organization towards the application of comprehensive but yet lean methodologies of data quality improvement. The approach allowed by HDQ meta-model is aimed at addressing the scalable and incremental management of the quality of data represented in either structured, semi-structure or unstructured information sources
Barone, D., Cabitza, F., Grega, S. (2007). HDQ: A meta-model for the quality improvement of heterogeneous data. In ICDIM'07: Proceedings of the Second IEEE International Conference on Digital Information Management, October 28-31 2007, Lyon, France [10.1109/ICDIM.2007.4444259].
HDQ: A meta-model for the quality improvement of heterogeneous data
BARONE, DANIELE;CABITZA, FEDERICO ANTONIO NICCOLO' AMEDEO;
2007
Abstract
In this paper, we outline the HDQ meta-model and exemplify its application to a realistic organizational scenario within a methodology for assessing and improving corporate data quality. The main aim of the HDQ meta-model is to support the modeling of the information resources used within an organization towards the application of comprehensive but yet lean methodologies of data quality improvement. The approach allowed by HDQ meta-model is aimed at addressing the scalable and incremental management of the quality of data represented in either structured, semi-structure or unstructured information sources
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