Current evidence indicates that poor data quality is pervasive and has a significant negative impact on business success. Information-system (IS) professionals are typically charg...
This paper introduces a new measurement, robustness, to measure the quality of machine-discovered knowledge from real-world databases that change over time. A piece of knowledge i...
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...
In smart item environments, multitude of sensors are applied to capture data about product conditions and usage to guide business decisions as well as production automation proces...
Anja Klein, Hong Hai Do, Gregor Hackenbroich, Marc...
Multi-channel information systems involve data redundancy, which, in turn, requires the implementation of synchronization mechanisms among overlapping databases. This need for peri...
Cinzia Cappiello, Chiara Francalanci, Barbara Pern...