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基于科学数据的用户相关性判断实证研究
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  • 英文篇名:An Empirical Study on User's Relevance Judgment Based on Scientific Data
  • 作者:刘建平 ; 王健 ; 周国民 ; 石蕾 ; 张贵兰 ; 高飞 ; 韦草原
  • 英文作者:LIU JianPing;WANG Jian;ZHOU GuoMin;SHI Lei;ZHANG GuiLan;GAO Fei;WEI CaoYuan;Agricultural Information Institute,CAAC;National Science &Technology Infrastructure;
  • 关键词:科学数据 ; 标准 ; 线索 ; 感知价值 ; 结构方程 ; 探索性因子分析
  • 英文关键词:Scientific-Data;;Criteria;;Clue;;Perceived-Value;;Structural Equation Modeling;;Exploratory Factor Analysis
  • 中文刊名:SZTG
  • 英文刊名:Digital Library Forum
  • 机构:中国农业科学院农业信息研究所;国家科技基础条件平台;
  • 出版日期:2017-04-25
  • 出版单位:数字图书馆论坛
  • 年:2017
  • 期:No.155
  • 基金:中国农业科学院协同创新工程重点任务“多源异构农业大数据关联发现与计算挖掘”;; 国家社会科学基金“科学数据用户相关性标准与使用模式实证研究”(编号:14BTQ056)资助
  • 语种:中文;
  • 页:SZTG201704006
  • 页数:10
  • CN:04
  • ISSN:11-5359/G2
  • 分类号:24-33
摘要
为探索科学数据用户相关性判断中线索、标准与感知价值关系,发现科学数据用户相关性判断的认知机理,本研究对影响科学数据用户相关性判断的线索、标准和感知价值因素进行测量,以问卷调查形式对"共享杯"参赛人员进行调研,获得相关数据。使用探索性因子对线索集、标准集和感知价值集进行探索性分析,基于线索、标准、感知价值间已有理论关系,通过结构方程方法对三者关系进行验证分析。研究发现,影响科学数据用户相关性判断的主要线索、标准和感知价值因素,通过对线索、标准和感知价值关系的实证分析,探究科学数据用户相关性判断的认知机理。
        In order to explore the relationship among clues, criteria and perceived value in the process of scientific data relevance judgement and find the cognitive mechanism of user's relevance judgment in scientific data. This study measures the variables of clues, criteria and perceived value that affect scientific data relevance judgement. By investigating the participants who took part in"The Shared Cup" through questionnaire survey in China, this study obtains relevant data. The exploratory factor method is used to explore the clue set, the criteria set and the perceived value set. Based on the existing theoretical relationship between the clues, the criteria and the perceived value, and the relationship are verified by the method of structural equation modeling. The study finds the main clues, criteria and perceived value that affect theuser's relevance judgementin scientific data. Through the empirical analysis of the relationship between the cues, the criteria and the perceived value, the cognitive mechanism of the relevance judgment in the scientific data is explored.
引文
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