To be considered high quality, data must meet several criteria. It must be "valid", which means that it corresponds to the rules and constraints set by the company. This may include constraints on data types, values, or the organization of data in databases. Quality data must also be accurate, complete, consistent, uniform, and traceable. These are the characteristics that impact data quality and that can be corrected with data cleaning.