出版社：Vilnius University, University of Latvia, Latvia University of Agriculture, Institute of Mathematics and Informatics of University of Latvia
摘要：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.
关键词：data quality; open data; data quality specification; domain;specific modelling
languages; decentralized data releases; centralized data releases;
