Previous research on the skills needed by data quality professionals have focused on Information Systems (IS) curriculum standards, survey input from Information Quality (IQ) profe...
: This paper discusses data quality challenges in the context of eBusiness Transformation. It presents the major differences between traditional and eBusiness as they relate to bus...
The European Union(EU) Data Protection (Privacy) Directive of 1995 (EUPD) and resulting legislation introduced by member states is designed to ensure that business activity is sub...
Reeva M. Lederman, Graeme G. Shanks, Martin R. Gib...
cipal high-level goal of the research is to develop abstractions, theory and methodology and software tools that allow federal statistical agencies to disseminate useful informatio...
Abstract: Independent from the concrete definition of the term “data quality” consistency always plays a major role. There are two main points when dealing with the data qualit...
: Data Quality is a major stake for large organizations and software companies are proposing increasing numbers of tools focusing on these issues. The scope of these tools is movin...
: Data quality (DQ) is emerging as a new relevant area for the improvement of the effectiveness of organizations. Despites the consequences of poor quality of data are often experi...
Carlo Batini, Daniele Barone, Michele Mastrella, A...
: The systematic assessment, storage, and retrieval of data quality scores has proven to be an elusive problem, often tackled only with classifications, questionnaires, and models....
: We introduce an end-to-end framework for data quality that integrates business strategy, data quality models, and supporting investigative and governance processes. We also descr...
: Sufficiently high data quality is crucial for almost every application. Nonetheless, data quality issues are nearly omnipresent. The reasons for poor quality cannot simply be bla...