摘要
数据论文能够满足科研人员细粒度知识单元的数据需求,促进科学数据的有效再利用,但当前尚缺乏针对数据论文这一特殊学术资源的影响力评价指标与评价方法。本文首先对数据论文的发展现状与学术影响力的评价方法进行了梳理,通过可行性分析发现,融合Altmetrics与引文分析的评价方法能够有效实现对数据论文学术影响力的评价。在此基础上,通过对数据论文自身特性、Altmetrics与引文分析优势融合以及数据论文出版平台特征的考量,提出以数据论文被引对象频次、当年影响因子、下载量为指标的评价模型。最后,以“全球变化科学研究数据出版系统”的数据论文作为实证对象,论证评价指标的效用性与评价模型的可行性。实证表明,该模型具有可行性,并且适用性、施引文献质量与时空性等特征是造成数据论文影响力差异的重要原因。
Data papers are a unique academic resource that can meet researchersdata needs of fine-grained knowledge units and promote the effective reuse of research data.However,there is currently no evaluation index or method to assess their impact.This paper firstly unscrambles the development status of data papers and the methods used for evaluation of their academic influence.Through feasibility analysis,it is found that an evaluation method integrating Altmetrics and Citation Analysis can measure the academic influence of data papers effectively.Therefore,an evaluation model is proposed which uses the characteristics of the data paper itself,the integration of Altmetrics and Citation Analysis,and the characteristics of the data publishing platform.The model takes the frequency of data subject being cited,the impact factor of the year,and the download volume as standards.Finally,the paper of the“Global Change Research Data Publishing&Repository”is used as an empirical object to demonstrate the utility of the evaluation index and the feasibility of the model.The results show that the model is feasible,and the significant reasons behind differences in data papers are applicability,quality of citing literature,and characteristics of time and space.
作者
翟姗姗
叶丁菱
胡畔
许鑫
Zhai Shanshan;Ye Dingling;Hu Pan;Xu Xin(School of Information Management,Central China Normal University,Wuhan 430079;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
2020年第7期710-718,共9页
Journal of the China Society for Scientific and Technical Information
基金
国家社会科学基金青年项目“社会网络中基于用户认知结构的知识标注研究”(17CTQ024)。
