基于DEMATEL的数据要素属性结构关系分析  

Attributes Structural Relationship Analysis of Data as a Factor of Production Based on DEMATEL

作　　者：段尧清[1,2] 郑卓闻 汪银霞 钟晖 Duan Yaoqing

机构地区：[1]华中师范大学信息管理学院,湖北武汉430079 [2]湖北省数据治理与智能决策研究中心,湖北武汉430079 [3]信阳师范学院图书馆,河南信阳464000

出　　处：《情报理论与实践》2022年第7期124-131,123,共9页Information Studies:Theory & Application

基　　金：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”的成果之一,项目编号:17ATQ006。

摘　　要：[目的/意义]对数据成为生产要素的关键属性和属性之间的结构关系的梳理与分析,有助于深化对数据要素的理解,推动数据要素的价值实现。[方法/过程]首先,通过文献调研,梳理并论述了12个关键数据要素的属性;其次,运用决策实验室分析法(DEMATEL),以专家的矩阵打分问卷为样本,分析属性之间的相互关联;最后,依据不同指标对各个属性进行排序。[结果/结论]数据要素属性之间存在因果、积极和消极的结构关系,流动属性、价值属性、可配置属性、效率倍增属性和权属性的中心度最高,建议未来的研究与实践重点关注。[Purpose/significance]The identification and analysis of the key attributes of data as a factor of production and the structural relationship between the attributes are helpful to deepen the understanding of data as a factor of production and promote their value realization.[Method/process]Firstly,identify and define 12 key attributes of data as a factor of production through the literature review.Then,analyze the correlation between attributes with the expert scoring questionnaires by applying DEMATEL.Finally,we rank the attributes with different indexes.[Result/conclusion]There are causal,positive and negative influence relationships among the attributes of data as a factor of production.Flow attribute,value attribute,distributable attribute,optimization attribute and ownership attribute have the highest centrality,which is suggested to be paid more attention on future research and practice.

关 键 词：数据要素 生产要素 属性 结构关系 决策实验室法 

分 类 号：G250.7[文化科学—图书馆学]