Big Data,Hukou System, Census, Data Structure

  本文关键词：大数据时代中国人口科学研究与创新，由笔耕文化传播整理发布。

大数据时代中国人口科学研究与创新

Research and Innovation in the Population Science of China in the Era of Big Data

[1]

Wang Guangzhou （Wang Guangzhou is Professor, Institute of Population and Labor Economics, Chinese Acade- my of Social Sciences, Beijing 100028, China ）

中国社会科学院人口与劳动经济研究所

文章摘要：在对中国人口大数据现状和存在问题分析的基础上,文章认为,中国人口大数据有丰富的历史积累,但各人口大数据系统之间最基本信息还没有实现同步更新和共享,信息的实时开发利用还面临很多实际困难和现实挑战。在大数据系统建设和信息开发利用过程中,需要解决基础数据的标准化、动态管理、实时更新、共享、安全机制以及历史数据的保存与归档问题。而人口大数据结构与人口分析模型密不可分,面对新的人口大数据形态,许多统计指标将面临重构。人口大数据的连续、追踪属性将改变传统人口分析长周期及与空间信息分离的技术瓶颈,进而提出构建实时人口监测、预警模型和快速挖掘核心人口大数据的结构框架、需要迫切解决的问题和主要研究领域。

Abstr：Based on the review of the population big data of China, this paper analyzes current situ- ation and problems of different population data sources. Despite the fact that population big data in China has very good historical accumulation, key population information has not been shared between different big data systems, and there are difficulties and challenges for deep data mining. During the big data construction and development, the problems that need to be dealt with are data structure standardization, data updating, sharing, privacy safety, real time data cleaning and data archiving. Since data structure is closely related to data analysis models, many demographic and statistical indicators will be reconstructed in future under the explorations of big data. This paper concludes with a discussion of the problems of constructing dynamic monitoring and early warning modules, in-depth data mining framework as well as some major research areas.

文章关键词：

Keyword：:Big Data,Hukou System, Census, Data Structure

作者信息：会员可见

  本文关键词：大数据时代中国人口科学研究与创新，，由笔耕文化传播整理发布。