![]() Research data has become one of the most important objects in the research system during the past decade. We find that the coverage of data papers, as well as their document type information, is highly inconsistent across databases, which creates major challenges for future efforts to study them quantitatively, which should be addressed in the future. We investigate how comprehensively these databases cover the selected data journals and, in particular, how they present the document type information of data papers. To address this gap, this study examines how a list of 18 exclusively data journals (i.e., journals that primarily accept data papers) are indexed in four popular scholarly databases: the Web of Science, Scopus, Dimensions, and OpenAlex. ![]() One barrier to this research agenda is a lack of knowledge as to how data journals and their publications are indexed in the scholarly databases used for quantitative analysis. The growing numbers of data papers and journals hosting them have made them an important data source for understanding how research data is published and reused. The data paper is becoming a popular way for researchers to publish their research data.
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