ISO 8000 - Data Quality 61:4: 4 Fundamental principles of data quality management

Three principles govern managing data quality. The process approach: the processes that create, update and use data are defined and run, and they become dependable and repeatable when processes for managing data quality are defined and run alongside them. Continuous improvement: measuring data and correcting the nonconformities that data processing produces does improve data, but it does not stop the same errors coming back; lasting improvement comes from locating and tracing whatever ultimately causes poor quality and eliminating it, which usually means improving processes. Involvement of people: data quality responsibilities sit at several levels; end users affect quality most directly through the processing they do, data quality specialists intervene and exercise control to put improvement processes in place and embed them across the organization, and top management's oversight secures resources and steers the organization toward its data quality vision, goals and objectives.