数据级别计量在机构知识库中的应用研究  

The Application and Research of Data-Level Metrics in Institutional Repository

作　　者：张雪蕾[1] 李娟[1] 魏青山 尹飞[1] Zhang Xuelei

机构地区：[1]西安交通大学图书馆,陕西西安710049

出　　处：《情报理论与实践》2020年第5期137-143,共7页Information Studies:Theory & Application

摘　　要：[目的/意义]数据级别计量是在科学数据开放共享背景下,承认科研人员学术贡献度的一种有效途径。机构知识库作为收集各类学术成果平台,科学数据也是其重要的收录类型之一。借助完善与拓展机构知识库功能契机,避免重复建设。[方法/过程]分别从数据引用、数据使用和数据替代计量三个维度对科学数据使用情形进行分析。[结果/结论]西安交通大学机构知识库引入数据级别计量的实践在一定程度上能够体现出对学者贡献度的认可,提升学者自存缴意愿,从而推动科学数据共享。[Purpose/significance]Under the background of open access of scientific data,Data-Level Metric is an effective way to recognize the academic contribution of researchers.Scientific data is also an important kind of the collections of IR(institutional repository),which is a platform collecting various academic achievements.Reduplicative constructions are avoided with the opportunity to improve and expand function of IR.[Method/process]The use of scientific data is analyzed through three dimensions:data citation,data usage and Altmetrics for data.[Result/conclusion]The practice that the XJTU Academic Hub introduces scientific data level measurement can reflect the recognition of scholars’contribution to a certain extent,increase scholars’willingness to submit,finally to promote scientific data sharing.

关 键 词：科学数据 机构知识库 数据引用 数据使用 数据替代计量 

分 类 号：G353.1[文化科学—情报学]