The best way to determine if your data is clean is to thoroughly evaluate it against a checklist of tasks that need to be performed for it to be considered clean. Any errors or inconsistencies should be corrected prior to using the data for analysis work. Quality assurance tests such as unit tests can also be used to verify accuracy of results.