Quality Assessment for Open Government Data in China

With the development in research of government open data, the issue of data quality becomes more prominent. It's important to accurately judge the data quality before using it. The microcosmic quality assessment not only provides criteria for users to pick up dataset, but also establishes standards for providers' data quality management. In this paper, it sums up 16 types of quality problems through the investigation of three Chinese local government datasets in Beijing, Guangzhou and Harbin, and then constructs 7 quality dimensions and metrics at different granular level to score three cities. The evaluation results reflect that overall score of completeness, accuracy and consistency is low, which will affect the availability of data and mislead users to make wrong decision. On the basis of this evaluation, government could take measures to overcome the weaknesses observed in the open data quality, addressing specific lower score quality aspects.