开放数据门户的质量评估与演进

Jürgen Umbrich, S. Neumaier, A. Polleres
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引用次数: 67

摘要

开放数据门户的元数据和数据源质量不高,这是一个严重的风险,可能会破坏开放数据项目。尽管开放数据门户的可用性稳步增长,结构化数据的可用性引起了人们的热情,但首先出现了批评的声音,解决了这个问题。然而,目前还没有关于开放数据门户实际质量的全面报告。在这项工作中,我们展示了我们为监测和评估82个活跃开放数据门户网站的质量所做的努力,这些门户网站由35个不同国家的组织提供支持。我们通过分析自2014年9月以来门户网站的数据和演变,讨论了我们的质量指标,并报告了全面的发现。我们的研究结果包括信息的稳定增长,门户网站在各个方面的高度异质性,以及对开放性、接触能力和元数据可用性的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quality Assessment and Evolution of Open Data Portals
Despite the enthusiasm caused by the availability of a steadily increasing amount of openly available, structured data, first critical voices appear addressing the emerging issue of low quality in the meta data and data source of Open Data portals which is a serious risk that could disrupt the Open Data project. However, there exist no comprehensive reports about the actual quality of Open Data portals. In this work, we present our efforts to monitor and assess the quality of 82 active Open Data portals, powered by organisations across 35 different countries. We discuss our quality metrics and report comprehensive findings by analysing the data and the evolution of the portals since September 2014. Our results include findings about a steady growth of information, a high heterogeneity across the portals for various aspects and also insights on openness, contact ability and the availability of meta data.
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