摘要
【目的/意义】用户行为数据的采集与共享是科研数据管理(RDM)系统中的重要研究内容,但在采集与共享环节上一直受到用户共享意愿、数据的随机性、可塑性、安全性等因素的制约。本文试图将知识融合理论融入采集与共享机制,进而从技术角度构建用户行为数据的釆集与共享方案,以充分促进用户行为数据的有效利用,提高用户共享意愿。【方法/过程】首先,我们梳理了RDM研究的发展脉络,然后将“知识融合”概念引入用户行为数据分析与利用过程中,重点分析面向科研工作者的行为数据共享机制最后,以移动数据釆集与共享为例,设计APP应用模块,开展实证研究【结果/结论】实证证明,引入了知识融合概念的行为数据采集与共享机制,对提高数据采集效率、提升用户实际共享意愿具有理论与应用价值。
[Purpose/significanee]Collecting and sharing behavior data of mobile users is an important part of research data management(RDM)system,however,the system is always restricted by many factors,such as users*sharing willingness,the randomness,plasticity and safety of data.From the perspective of knowledge fusion,we attempt to establish the behavior data collecting and sharing scheme based on technology,to promote the effective utilization of users*behavior data and increase users'sharing willingness.[Method/process]First,we combed RDM research,then introduced the conception of"knowledge fusion for RDM^^into the processing of behavior data analysis and utilization,and analyzed the behavior data sharing scheme of researchers.Finally,we designed the models and associated applications based on the mechanism.[Re-sult/conclusion]The data collection and sharing mechanism from the perspective of knowledge fusion has theoretic and applied value for improving the effectiveness of data collection and users*sharing willingness.
作者
程秀峰
肖兵
夏立新
CHENG Xiu-feng;XIAO Bing;XIA Li-xin(School of Information Management,Central China Normal University,Wuhan 430019,China)
出处
《情报科学》
CSSCI
北大核心
2020年第1期30-35,共6页
Information Science
基金
国家自科青年项目“基于QSIM的图书馆移动用户群体行为模拟与学习兴趣引导研究”(71503097)
华中师范大学探索创新项目“移动环境下图书馆用户行为信息的链接发现”(CCNU18TS039)
中央高校基本科研业务费资助(创新资助项目)(2018CXZZ132)
关键词
知识融合
科研数据管理
用户行为
数据采集
数据共享
knowledge fusion
research data management
user behavior
data acquisition
data sharing
