摘要
公共开放数据重用可以创造新的商业模式和产品,帮助企业获得经济收益,促进企业创新和问题解决,还可以提高政府透明度和公民参与度。以德州市公共数据开放网元数据为研究对象,以数据集更新频率、下载格式、标签、描述长度、数据领域、所属行业为自变量,以下载次数为因变量,采用多元线性回归分析方法探究公共开放数据重用的影响因素。研究发现:时间跨度、数据项、数据量及数据接口对下载次数的显著性影响较高。最终提出整合历史数据、引入时序与事件,优化数据项、拓宽数据视野,深挖潜值、引入UGC提高数据量,建立统一标准、提高数据质量等建议,为提高公共开放数据重用水平提供参考意见。
Public open data reuse can create new business models and products,help enterprises achieve economic benefits,promote enterprise innovation and problem solving,and improve government transparency and citizen engagement.This paper takes the public data open network metadata of Dezhou City as the research object,with data set update frequency,download format,label,description length,data field,and industry as independent variables,and download frequency as the dependent variable,uses multiple linear regression analysis to explore the factors affecting the reuse of public open data.The study found that time span,data items,data volume and data interface had a significant impact on the number of downloads.Finally,this paper puts forward some suggestions such as integrating historical data,introducing time series and events,optimizing data items,broadening data perspectives,deepening potential value,using UGC to assist data volume,establishing unified standards,and improving data quality,providing reference opinions for improving the level of public open data reuse.
作者
齐雪晨
刘春艳
QI Xuechen;LIU Chunyan
出处
《图书情报导刊》
2024年第9期32-40,共9页
Journal of Library and Information Science
基金
2023年黑龙江省社科基金党的二十大精神专题项目“总体国家安全观下城市大数据安全风险评估与能力提升路径研究”(项目编号:23TQA033)。
关键词
公共数据
数据重用
影响因素
public data
data reuse
influencing factor