摘要
在数据已经正式成为新型生产要素的背景下,公共数据开放问题显得越发重要。通过采用Python编程实现多地公共数据开放政策文本的自动化获取,然后研究发文时间、发文数量和地域分布特点,并进行词频统计及文本相似度计算,进而分析政策总体情况和存在问题,为各地制定相关政策文本提供建议和参考。一是研究各地公共数据的定义问题并搭建其表达框架;二是讨论研究开放对象是否面向所有人;三是针对开放安全问题,拓建政府安全政策的工具维度,并发掘该问题演变趋势。
Since data was officially regarded as a production factor,the issue of opening public data has been becoming more and more important.This paper acquires policy texts of opening public data in multiple places by means of Python programming,then analyzes their publishing time,quantity and geographical distribution characteristics,and uses word frequency statistics and text similarity calculation,to study the overall situation and existing problems so as to provide suggestions and reference for the formulation of relevant policy texts.Firstly,it investigates the definition of public data and builds the expression framework;secondly,it discusses whether public data should be opening to everyone;thirdly,it expands the tool dimensions of government security policy for the subsequent security issue,and explores the evolution trend.
作者
阳静
赵扬
张超峰
YANG Jing;ZHAO Yang;ZHANG Chaofeng(Guangdong Planning and Designing Institute of Telecommunications Co.,Ltd.,Changsha Branch of Telecom Consulting Design Institute,Changsha 410008,China)
出处
《信息通信技术与政策》
2021年第7期59-65,共7页
Information and Communications Technology and Policy
