: 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...
Data-driven scientific applications utilize workflow frameworks to execute complex dataflows, resulting in derived data products of unknown quality. We discuss our on-going resear...
Information, stored in databases, is a key competitive advantage of many companies. However, this importance does not imply that managers will view data as a strategic resource or...
: Integrated access to distributed data is an important problem faced in many scientific and commercial applications. A data integration system provides a unified view for users to...