Abstract
Research data is essential to the production of research, and is increasingly made available in repositories for reuse and reproducing research. Data citations play a crucial role in connecting this data to journal articles, and also to acknowledge and attribute research data correctly in scholarly publications. To ensure the interoperability and accessibility of data citations, it is essential to make data citations machine readable. This paper explores the common practices in making data citations machine readable within journal article citations, focusing on the markup of data citations in the Journal Article Tag Suite (JATS) and the use of Crossref as a data citation metadata endpoint.
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