Open Government Data Portals in the European Union: A Dataset from 2015 to 2017

The focus of this research was to study the development of open government data portals in the 28 countries of the European Union. The evolution of several parameters and indicators over a period of 3 years in the official national open data portals were observed. Data were manually obtained from existing public data sources and official open government data portals available on the Web. Clustering analysis was applied for grouping similar countries with respect to different indicators. Clustering was carried out using Density-based spatial clustering of applications with noise (DBSCAN); cluster validation was carried out using the Davies–Bouldin index. This dataset is used in the paper "Open government data portals in the European Union: Considerations, development, and expectations" https://doi.org/10.1016/j.techfore.2019.119769本研究聚焦欧盟（European Union）28个国家的开放政府数据门户发展情况。研究观测了3年间各国官方开放数据门户的多项参数与指标的演化情况。数据均通过手动采集自现有公开数据源及互联网上的官方开放政府数据门户。本研究采用聚类分析方法，基于不同指标对相似国家进行分组：聚类算法选用基于密度的带噪声应用空间聚类（Density-based spatial clustering of applications with noise, DBSCAN），聚类有效性验证则采用戴维斯-布尔丁指数（Davies–Bouldin index）。本数据集配套发表于论文《欧盟开放政府数据门户：思考、发展与展望》（Open government data portals in the European Union: Considerations, development, and expectations），DOI链接为：https://doi.org/10.1016/j.techfore.2019.119769