大数据视角下名录库更新维护——基于互联网异源异构数据整合的探讨

Updating of Basic Unit Database: Internet Big Data Integration Approach

统计系统基本单位名录库是统计数据质量的基石,现有数据源在成本、时效性、数据提供者负担方面存在劣势。为此,本文提出一种互联网大数据整合视角下的名录库更新维护思路:从参与者行为、数据质量角度论证了将异源异构互联网数据作为名录库更新数据源的优势,讨论了名录库基本信息、属性信息及地理定位信息获取的技术手段,并给出应用实例。

Statistical Basic Unit Database is the cornerstone of data quality. There are disadvantages of existing data sources on cost, timeliness and burden of data providers. This paper proposes a updating approach of Basic Unit Database based on internet data integration, discusses the advantage of taking the internet data as an data source for updating and provides technology details of obtaining basic, attributive and geographic information of Basic Unit Database. An application is also mentioned.