: 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...
: Motivated by the problem of out-of-shelf (OOS) in retail industry and the emergence of RFID (Radio Frequency Identification) technology, this paper investigates the impact that t...
: 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....
: This paper presents interim results of an ongoing project on quality issues concerning Wikipedia. One focus of research is the relation of language and quality measurement. The o...
: This is a study of the phenomenon of pervasiveness of materiality of factors (including data and information) and their qualities in operations and the pervasiveness of their cha...
: Futures research means observation and understanding of today’s operational environment as well as identification and positioning of future opportunities. Lots of technology fo...
: DQ metadata can be stored in a Metadata Repository (MDR). The structure of the MDR should be carefully defined to ensure a maximum amount of flexibility, generality and ease of u...
David Becker, William McMullen, Kevin Hetherington...
: 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...
: Models of the association between input accuracy and output accuracy imply that, for any given application, the effect of input errors on the output error rate generally varies i...