文章基本信息

标题：Bringing Citations and Usage Metrics Together to Make Data Count
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作者：Helena Cousijn ; Patricia Feeney ; Daniella Lowenberg 等
期刊名称：Data Science Journal
电子版ISSN：1683-1470
出版年度：2019
卷号：18
期号：1
页码：1-7
DOI：10.5334/dsj-2019-009
出版社：Ubiquity Press
摘要：Over the last years, many organizations have been working on infrastructure to facilitate sharing and reuse of research data. This means that researchers now have ways of making their data available, but not necessarily incentives to do so. Several Research Data Alliance (RDA) working groups have been working on ways to start measuring activities around research data to provide input for new Data Level Metrics (DLMs). These DLMs are a critical step towards providing researchers with credit for their work. In this paper, we describe the outcomes of the work of the Scholarly Link Exchange (Scholix) working group and the Data Usage Metrics working group. The Scholix working group developed a framework that allows organizations to expose and discover links between articles and datasets, thereby providing an indication of data citations. The Data Usage Metrics group works on a standard for the measurement and display of Data Usage Metrics. Here we explain how publishers and data repositories can contribute to and benefit from these initiatives. Together, these contributions feed into several hubs that enable data repositories to start displaying DLMs. Once these DLMs are available, researchers are in a better position to make their data count and be rewarded for their work.
关键词：research data; data metrics; data citation; Research Data Alliance; Scholix