  Nowadays open data is entering the mainstream - it is free available for
every stakeholder and is often used in business decision-making. It is
important to be sure data is trustable and error-free as its quality problems
can lead to huge losses. The research discusses how (open) data quality could
be assessed. It also covers main points which should be considered developing a
data quality management solution. One specific approach is applied to several
Latvian open data sets. The research provides a step-by-step open data sets
analysis guide and summarizes its results. It is also shown there could exist
differences in data quality depending on data supplier (centralized and
decentralized data releases) and, unfortunately, trustable data supplier cannot
guarantee data quality problems absence. There are also underlined common data
quality problems detected not only in Latvian open data but also in open data
of 3 European countries.
