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Data papers, as one of the channels to encourage researchers to open up research data under the open science movement, are expected to provide strong incentives through formal citations. However, few studies have investigated the drivers of this emerging type of publication. This study examines researchers' motivations, and considerations for data paper submission, as well as their perspectives on this scholarly publication. Through an in‐depth interview approach with ten data paper authors, our preliminary results found that, researchers are often driven by extrinsic factors to increase their publications, and data papers are sometimes viewed as territory claims before further research. Although the academic community widely recognizes the benefits of publishing data papers, some still cast a doubtful eye on its academic value and impact. We anticipate such insights on the driving forces and point of views of data papers could provide opportunities for stakeholders to fill gaps and strengthen the open science ecosystem. [ABSTRACT FROM AUTHOR]

Data sharing and reuse promise many benefits to science, but many researchers are reluctant to share and reuse data. Data papers, published as peer‐reviewed articles that provide descriptive information about specific datasets, are a potential solution as they may incentivize sharing by providing a mechanism for data producers to get citation credit and support reuse by providing contextual information about dataset production. Data papers can receive many citations. However, does citation of a data paper mean reuse of the underlying dataset? This paper presents preliminary findings from a content‐based citation analysis of data papers (n = 103) published in two specialized data journals, one in earth sciences and one in physical and chemical sciences. We conclude that while the genre of data papers facilitates some data sharing and reuse, they fail to live up to their full potential. Further, practices of reuse of datasets from data papers vary considerably between disciplines. We propose measures for academic publishers to enhance the data paper's role in scholarly communication to attract more attention from researchers and to inform discipline‐specific policy and practices related to data publication. [ABSTRACT FROM AUTHOR]

The data paper is a new type of scientific publication aiming to describe data objects per se and bridge the gaps between scientific writing and data‐driven scientific practice. Despite its importance, we are still largely in the dark as to the narrative structure of this emerging genre of scientific writing. In this poster, we presented and discussed some preliminary empirical evidence of the narrative structure of data papers and the distribution of cited sources in relation to this structure, based on a manual examination of 40 data papers from the journal of Scientific Data. Our findings suggest that even though data papers have a different structure from research papers, their paper sections bear distinct narrative functions as illustrated by the pattern of citation distribution. Moreover, some of these sections have similar functions to their counterparts in research papers. The implications of our initial findings and the next step of our project were explained in conclusion. [ABSTRACT FROM AUTHOR]