Dissemination effect of data papers on scientific datasets

Open data as an integral part of the open science movement enhances the openness and sharing of scientific datasets. Nevertheless, the normative utilization of data journals, data papers, scientific datasets, and data citations necessitates further research. This study aims to investigate the citation practices associated with data papers and to explore the role of data papers in disseminating scientific datasets. Dataset accession numbers from NCBI databases were employed to analyze the prevalence of data citations for data papers from PubMed Central. A dataset citation practice identification rule was subsequently established. The findings indicate a consistent growth in the number of biomedical data journals published in recent years, with data papers gaining attention and recognition as both publications and data sources. Although the use of data papers as citation sources for data remains relatively rare, there has been a steady increase in data paper citations for data utilization through formal data citations. Furthermore, the increasing proportion of datasets reported in data papers that are employed for analytical purposes highlights the distinct value of data papers in facilitating the dissemination and reuse of datasets to support novel research.

Automated summary

This study investigated the citation practices associated with data papers and explored the role of data papers in disseminating scientific datasets. The findings suggest that data papers are gaining attention and recognition as both publications and data sources, with a steady increase in both the number of biomedical data journals and data paper citations for data utilization. The increasing proportion of datasets reported in data papers for analytical purposes highlights the distinct value of data papers in facilitating the dissemination and reuse of datasets to support novel research.