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机构地区:[1]郑州大学信息管理学院,河南郑州450001 [2]郑州市数据科学研究中心,河南郑州450001
出 处:《情报理论与实践》2022年第8期146-153,103,共9页Information Studies:Theory & Application
基 金:国家社会科学基金重大项目“政府数据的隐私风险计量与保护机制创新研究”的成果,项目编号:21&ZD338。
摘 要:[目的/意义]识别科研数据共享效率的关键影响因素,探究各因素对科研数据共享效率的作用关系,有助于更具针对性地提升科研数据共享效率水平。[方法/过程]基于相关理论与研究确定影响科研数据共享效率的因素集,挖掘各因素间的因果关系,运用系统动力学(SD)仿真方法,以量化形式动态预测关键影响因素对科研数据共享效率的作用关系。[结果/结论]个人共享意愿子系统对科研数据共享效率的影响最大,数据共享技术子系统对科研数据共享效率的影响最小。揭示各子系统中关键因素对科研数据共享效率的交互影响趋势,可以定量、直观地预测科研数据共享效率水平的发展趋势。[局限]影响因素集的考虑尚不全面,后续研究仍需进一步优化SD仿真模型。[Purpose/significance]Identifying the key factors affecting sharing efficiency of scientific research data and exploring the interaction relations of each factor on the sharing efficiency of scientific research data,this will help improve more targeted the sharing efficiency of scientific research data.[Method/process]This paper determines the factors affecting the sharing efficiency of scientific research data based on relevant theories and researches,mines the causal relationship between each factor,the paper dynamically predicts in a quantitative form the relationship between the key influencing factors on the sharing efficiency of scientific research data by using system dynamics(SD)simulation method.[Result/conclusion]The results show that the individual sharing intention subsystem has the greatest influence on the sharing efficiency of scientific research data,the data sharing technology subsystem has the least influence on the efficiency of scientific research data sharing.The study reveals the interactive influence trends of key factors in each subsystem on the sharing efficiency of scientific research data,which can predict quantitatively and intuitively the development trends of the sharing efficiency level of scientific research data.[Limitations]The influencing factors considered are not comprehensive,and follow-up studies need to further optimize the SD simulation model.
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