Is there a difference between the terms “data integrity” and “data quality”?

Question

I was asked this question in an interview today, and didn't know how to answer.

Can anyone provide an insight as to the differences?

Answer 1

Data integrity: The accuracy and consistency of stored data, indicated by an absence of any alteration in data between two updates of a data record. Data integrity is imposed within a database at its design stage through the use of standard rules and procedures, and is maintained through the use of error checking and validation routines.

Data quality is a perception or an assessment of data's fitness to serve its purpose in a given context.

Aspects of data quality include:

Accuracy
Completeness
Update status
Relevance
Consistency across data sources
Reliability
Appropriate presentation
Accessibility

Answer 2

The below answer is wrt ETL testing : Data integrity(orphan check) - Check if the newly added column/ existing column has a parent which is null or blank.

Data quality (percent null check) - This check is performed only when a new column is added to the table .