Approaching the limits in Data Quality Management (2007-2009)

Regardless of the intelligence and sophistication dedicated to functionality of new software solutions, data quality remains a major factor in the successful deployment of IT systems. Importance of managing data quality has increased manifold in today's global information sharing environments. This project will delve into the fundamental questions behind data consistency, integrity and constraints satisfaction by providing deep insights into the computational boundaries of data quality management. Consequently, innovative solutions are expected to be developed offering full scope of automatic data cleansing and unification, targeting generic data quality management requirements that span business as well as scientific data control.