论文标题
开放数据质量评估：对拉脱维亚的开放数据的比较分析
Open Data Quality Evaluation: A Comparative Analysis of Open Data in Latvia
论文作者
论文摘要
如今，开放数据正在进入主流 - 每个利益相关者都可以免费使用，并且经常用于业务决策。重要的是要确保数据是可信赖的，并且没有错误，因为其质量问题可能会导致巨大的损失。研究讨论了如何评估（开放）数据质量。它还涵盖了应该考虑开发数据质量管理解决方案的要点。一种特定的方法应用于几个拉脱维亚的开放数据集。该研究提供了逐步开放数据集分析指南，并总结了其结果。还表明，根据数据供应商（集中式和分散的数据发布），数据质量可能存在差异，并且不幸的是，可信的数据供应商无法保证缺少数据质量问题。不仅在拉脱维亚的开放数据中，而且在3个欧洲国家的开放数据中也发现了下划线的常见数据质量问题。
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.
