统计研究 ›› 2017, Vol. 34 ›› Issue (12): 15-23.doi: 10.19343/j.cnki.11-1302/c.2017.12.002

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非传统数据质量评估的国际经验及借鉴

余芳东   

  • 出版日期:2017-12-25 发布日期:2017-12-25

The International Experience of the Quality Assessment for the Non-traditional Data and a Reference to China

Yu Fangdong   

  • Online:2017-12-25 Published:2017-12-25

摘要: 质量评估是非传统数据用于官方统计的前提。近年来,有关国际组织和发达国家加强非传统数据的统计应用实践探索,研究制定质量评估框架。非传统数据的统计应用日益广泛,已经成为我国官方统计基础数据的重要来源。非传统数据来源分散、类型多样、数量巨大、处理复杂,在官方统计应用中有较大的潜在风险,政府统计部门应加强质量评估和管理,提高非传统数据的应用水平。有必要借鉴国际经验,从数据源条件、元数据、数据三个方面研究构建我国政府统计中非传统数据质量保证框架,以规范应用标准,进一步夯实官方统计基础,提高源头数据质量。

关键词: 非传统数据, 质量要素, 保证框架, 政府统计应用

Abstract: The quality assessment is a prerequisite for the use of non-traditional data for official statistics. In recent years, the relevant international organizations and developed countries explore the application of non-traditional data, develop data quality assurance framework. Non-traditional data has become an important source of official statistics in China. Non-traditional data has the characteristics of diverse types, the huge amount and complexity, there are the potential risks in the use of the official statistics. The statistical organizations should strengthen data quality management and improve the application capacity of non-traditional data. With reference to international experience, from the three aspects of data source, metadata, data, this research would construct the quality assurance framework of non-traditional data for China’s official statistics.

Key words: Non-traditional Data, Quality Elements, Assurance Framework, The Application for Official Statistics