4.5 Article

Measuring the impact of health research data in terms of data citations by scientific publications

期刊

SCIENTOMETRICS
卷 127, 期 12, 页码 6881-6893

出版社

SPRINGER
DOI: 10.1007/s11192-022-04559-4

关键词

Data records; Data sharing and reuse; Incidence; Disability Adjusted Life Years (DALYs); Funding

资金

  1. National Natural Science Foundation of China [71603280, 72074006]
  2. Young Elite Scientists Sponsorship Program by China Association for Science and Technology [2017QNRC001]

向作者/读者索取更多资源

Health research, driven by data, is crucial. However, only a small percentage of health data is cited in scientific publications. The level of data sharing and reuse varies across diseases, and the reuse of scientific data is a complex behavior.
Health is a representative domain data-driven research since health research data are growingly generated at a massive scale. There is an intuitive logic that the degree to which disease burden and the number of data resources align. In order to figure out disease-specific data sharing and reuse level, we took the number of data records and their citations in the scientific literature in the Data Citation Index platform as approximate indicators. The results indicated that only a small percentage (7.5%) of health data records had received documented citations by scientific publications. We find the level of data sharing and reuse varies across diseases. Our study suggested that the more socioeconomic burden and the more research funding, the more likely scientific data for diseases will be produced and made available. But such a correlation could not be observed for the activity of data reuse. Secondary reuse of scientific data is a complex behavior.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据