  The research discusses how (open) data quality could be described, what
should be considered developing a data quality management solution and how it
could be applied to open data to check its quality. The proposed approach
focuses on development of data quality specification which can be executed to
get data quality evaluation results, find errors in data and possible problems
which must be solved. The proposed approach is applied to several open data
sets to evaluate their quality. Open data is very popular, free available for
every stakeholder - it is often used to make business decisions. It is
important to be sure that this data is trustable and error-free as its quality
problems can lead to huge losses.
