Research on Some Basic Problems in Data Quality Control

Some basic problems of data quality, such as definition, error source, improving approach, etc.are foundation for data quality control.The limitations and one-sidedness of existing data quality definitions are analyzed.Data quality is redefined according as quality definition coming from ISO.Data error sources are divided into four instances:data entry errors, measurement errors, distillation errors and data integration errors.Improving approaches of data quality are summarized, and both management and technology are needed in data quality control.Some errors in above basic problems are advised, and some bases for further research are given.