Striving for good data quality in an information system is of utmost importance because data quality is propagated to the results of all data querying, information retrieval and data analysis tasks performed on the data. Bad data quality can have serious consequences on the results of those tasks.
In general data quality depends on many factors including validity, reliability, objectivity, integrity, generalizability, relevance and utility. DDCM investigates (semi-)automatic processes for assessing, handling and improving data quality. Focus is also on better informing users about the quality of the information they retrieve from the system.