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| Evaluation of the Academic Impact of Data Papers Fused with Altmetrics and Citation Analysis |
| Zhai Shanshan1, Ye Dingling1, Hu Pan1, Xu Xin2 |
1.School of Information Management, Central China Normal University, Wuhan 430079
2.Department of Information Management, Faculty of Economics and Management, East China Normal University, Shanghai 200241 |
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Abstract Data papers are a unique academic resource that can meet researchers data 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.
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Received: 19 November 2019
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