摘要
伴随数据论文影响力的凸显,数据计量逐渐兴起。本文基于数据计量,融合多维度、多指标综合评价数据论文的影响力。首先,本文通过信息传播模式分析数据论文影响力的产生机制,解析出数据论文影响力可以划分为潜在影响力、学术影响力和社会影响力三个维度。其次,融合Altmetrics与引文分析甄选指标构建数据论文影响力评价体系。最后,利用相关性分析以及三维空间差异性分析解构数据论文影响力评价结果。研究结果表明,三维度影响力反映出数据论文综合影响力,三者相互补充与促进。同时,数据论文应在整体上促进评审机制、引用机制和激励机制的针对性发展,在内部促进数据论文质量、内容、逻辑和时效的优化。
With the influence of data papers, data metrics has gradually risen to prominence. Based on data metrics, this paper integrates multi-dimensionality and multiple indexes to comprehensively evaluate the influence of data papers. First,an analysis of the mechanism of the influence of data papers via information dissemination is conducted. The influence of data papers can be divided into three dimensions: potential influence, academic influence, and social influence. Based on this a comprehensive evaluation system of data paper’s influence is constructed by fusing Altmetrics and citation analysis.Finally, the evaluation results of the influence of data papers is deconstructed using correlation analysis and three-dimensional space difference analysis. The results show that three-dimensional influence reflects the comprehensive influence of data papers, and these complement and promote one another. At the same time, data papers should promote the targeted development of review mechanisms, citation mechanisms, and incentive mechanisms as a whole and promote the internal optimization of the quality, content, logic, and timeliness of data papers.
作者
许鑫
叶丁菱
Xu Xin;Ye Dingling(Department of Information Management,Faculty of Economics and Management,East China Normal University,Shanghai 200241)
出处
《情报学报》
CSSCI
CSCD
北大核心
2022年第3期275-286,共12页
Journal of the China Society for Scientific and Technical Information
基金
华东师范大学“幸福之花”先导研究基金“智能+”领域项目“大数据视阈下基于学术共同体的人文社科学术评价与促进研究”(2019ECNU-XFZH016)。
