Do usage counts of scientific data make sense? An investigation of the Dryad repository
Do usage counts of scientific data make sense? An investigation of the Dryad repository
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DOI：
10.1108/lht-12-2016-0158
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发表时间：
2017-01-01
期刊：
影响因子：
3.4
通讯作者：
Han, Zhengbiao
中科院分区：
文献类型：
--
作者：
He, Lin;Han, Zhengbiao
目的-本文的目的是评价科学数据的影响，以评估数据的可靠性，以支持数据管理，建立研究人员之间的信任，以支持数字数据的重用，并鼓励研究人员分享更多的数据。设计/方法/途径-作者比较了Dryad中相关数据的使用计数与不同时期Web of Science中文章引用计数之间的相关性。主题领域，以评估使用altmetric指标来评估科学data.Findings的可能性-有很高的正相关性之间的使用计数的数据和相关文章的引用计数。文章的共享数据的引用计数高于平均引用计数在大多数学科领域检查由authents.Practical影响-该文件表明，数据的使用计数可能被用来评估科学数据的学术影响，特别是对于那些没有专门的数据存储库的主题领域。独创性/价值-该研究探讨了使用使用计数来评估Dryad通用存储库中不同学科类别的科学数据影响的可能性。
Purpose - The purpose of this paper is to evaluate the impact of scientific data in order to assess the reliability of data to support data curation, to establish trust between researchers to support reuse of digital data and encourage researchers to share more data.Design/methodology/approach - The authors compared the correlations between usage counts of associated data in Dryad and citation counts of articles in Web of Science in different subject areas in order to assess the possibility of using altmetric indicators to evaluate scientific data.Findings - There are high positive correlations between usage counts of data and citation counts of associated articles. The citation counts of article's shared data are higher than the average citation counts in most of the subject areas examined by the authors.Practical implications - The paper suggests that usage counts of data could be potentially used to evaluate scholarly impact of scientific data, especially for those subject areas without special data repositories.Originality/value - The study examines the possibility to use usage counts to evaluate the impact of scientific data in a generic repository Dryad by different subject categories.