| 数据驱动范式下政府开放数据状态及其主体行为状态的关系挖掘 |
| |
| 引用本文： | 陈玲,段尧清.数据驱动范式下政府开放数据状态及其主体行为状态的关系挖掘[J].图书情报工作,2020,64(2):13-22. |
| |
| 作者姓名： | 陈玲 段尧清 |
| |
| 作者单位： | 1. 华中师范大学信息管理学院 武汉 430079;
2. 湖北省数据治理与智能决策研究中心 武汉 430079 |
| |
| 基金项目： | 本文系国家社会科学基金重点项目"基于全生命周期的政府开放数据整合利用机制与模式研究"（项目编号：17ATQ006）研究成果之一。 |
| |
| 摘 要： | 目的/意义] 在数据驱动范式情境下,揭示政府门户网站开放数据状态及其主体行为状态之间的内部关联,推动政府数据开放效果和进程。方法/过程] 采用爬虫方法抓取上海市政府数据门户网站中各开放数据集,在对各数据集指标进行相关分析的基础上,采用Stepwise探索其回归关系,筛选得出关联度较高的变量;进一步对关系显著的变量进行PLS回归检验,得出政府开放数据状态与其主体行为状态的内部关联。结果/结论] 在政府数据开放进程中,政府部门的主体行为比数据自身的客体特征对公众主体行为的影响更大。在影响公众评分的因素中,政府开放保密级别的影响因子最大,且具有显著负向影响作用;政府更新频率、政府首次开放时间、数据格式可机读性对公众评分具有显著正向影响作用。
|
| 关 键 词： | 数据驱动范式 政府开放数据 政府门户网站 数据开放状态 |
| 收稿时间： | 2019-05-15 |
Relation Mining Between Government Open Data State and the Subject Behavior State in the Data Driven Paradigm |
| |
| Chen Ling,Duan Yaoqing.Relation Mining Between Government Open Data State and the Subject Behavior State in the Data Driven Paradigm[J].Library and Information Service,2020,64(2):13-22. |
| |
| Authors: | Chen Ling Duan Yaoqing |
| |
| Institution: | 1. School of Information Management, Central China Normal University, Wuhan 430079;
2. Hubei Data Governance and Intelligent Decision Research Center, Wuhan 430079 |
| |
| Abstract: | Purpose/significance] In the context of data-driven paradigm, this paper reveals the internal relationship between the open data state of government portal website and the behavior state of its main body, and promotes the effect and process of government data opening.Method/process] This paper used the crawler method to grab the open data sets in the Shanghai government data portal, and then did correlation analysis and Stepwise regression analysis on the index variables of each data set in turn, and screened out the variables with high correlation degree. At the same time, we further carried out PLS regression test on the variables with significant relationships, and ultimately drew the internal relationship between the state of government open data and the state of its main body's behavior.Result/conclusion] In the process of government data opening, the subject behavior of government departments has a greater impact on public subject behavior than the object characteristics of data itself. Among the factors affecting the public rating, the sequence from high to low is:government openness and secrecy, machine readability of Data Format, the first opening time of government, the timeliness of government openness. The level of government openness and secrecy has a significant negative impact on the score of government open data; the first opening time of government, the timeliness of government openness, and the machine readability of data format have a significant positive impact on the public score. |
| |
| Keywords: | data driven paradigm government open data government portals data open state |
|
| 点击此处可从《图书情报工作》浏览原始摘要信息 |
| 点击此处可从《图书情报工作》下载免费的PDF全文 |
|
