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How publishers can work with Crossref on data citation
Science Editing Pub Date : 2019-07-05 , DOI: 10.6087/kcse.165
Rachael Lammey

It aims to explain why data citation is important, how publishers and data repositories can do this and what use will be made of the information they provide. There are large benefits to be accrued from sharing research data such as guarantee of reproducibility and transparency. Consistent citation practice around data is essential to helping these benefits to be realized. Data citation metadata is being disseminated and used through its application programming interfaces and the Event Data application programming interface. Event Data extracts this information into a separate service, so data citations are pre-filtered from the Crossref metadata. There are two methods by which publishers can register data citation information with Crossref. The first method is to deposit data citations in the citation section of the metadata, i.e., the part containing the reference list of the article. The second method publishers can use to register data citations with Crossref is to use the relationships section of the metadata. There are a number of services already using Event Data to show information on data citation. To achieve the benefits of data citation, publishers or editors should have a data sharing and citation policy so that they share with their authors and readers.

中文翻译:

出版商如何使用 Crossref 处理数据引用

它旨在解释为什么数据引用很重要,出版商和数据存储库如何做到这一点以及他们提供的信息将如何使用。共享研究数据可以获得很大的好处,例如保证可重复性和透明度。围绕数据的一致引用实践对于帮助实现这些好处至关重要。数据引用元数据正在通过其应用程序编程接口和事件数据应用程序编程接口传播和使用。事件数据将此信息提取到单独的服务中,因此数据引用是从 Crossref 元数据中预先过滤的。出版商可以通过两种方法向 Crossref 注册数据引用信息。第一种方法是在元数据的引用部分存放数据引用,即,包含文章参考列表的部分。发布者可以用来向 Crossref 注册数据引用的第二种方法是使用元数据的关系部分。有许多服务已经使用事件数据来显示有关数据引用的信息。为了实现数据引用的好处,出版商或编辑应该有一个数据共享和引用政策,以便他们与作者和读者共享。
更新日期:2019-07-05
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