Quality assurance of routine data (9/10)

7. Additional methods for assessment of routine data quality

a) Other methods for routine data quality assessment

In addition to the tools presented, other methods exist to assess routine data quality.
Some of them are presented in the next slides. They are complementary to the tests discussed above, and each one of them applies to one of the data quality dimensions. In that sense these tests are not fundamentally different from the tool presented but are complementary.
The table below summarises the additional methods, including key questions and sub-questions that can be asked to help the data analyst in better understanding the quality of the data at hand.
In practice, a combination of these data quality assessment methods needs to be used to assess data quality, as each one of them separately do not suffice.