论文标题
开放数据质量
Open Data Quality
论文作者
论文摘要
该研究讨论了如何描述（开放）数据质量，应该考虑开发数据质量管理解决方案以及如何将其应用于打开数据以检查其质量。所提出的方法着重于数据质量规范的开发，这些规范可以执行以获得数据质量评估结果，在数据中找到错误以及可能解决的可能问题。提出的方法应用于几个开放数据集以评估其质量。开放数据非常受欢迎，可免费使用每个利益相关者 - 通常用于做出业务决策。重要的是要确保此数据可信赖且无错误，因为其质量问题可能会导致巨大的损失。
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.
