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.

中文翻译：

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开放数据质量评估：拉脱维亚开放数据的比较分析

如今，开放数据正在进入主流——每个利益相关者都可以免费获得，并且经常用于商业决策。确保数据可信且无错误非常重要，因为其质量问题可能导致巨大损失。该研究讨论了如何评估（开放）数据质量。它还涵盖了开发数据质量管理解决方案时应考虑的要点。一种特定方法适用于多个拉脱维亚开放数据集。该研究提供了逐步开放的数据集分析指南并总结了其结果。它还表明，数据质量可能存在差异，具体取决于数据供应商（集中式和分散式数据发布），不幸的是，可信赖的数据供应商无法保证不存在数据质量问题。