Kai Li, Jane Greenberg, and Jillian Dunic have self-archived "Data Objects and Documenting Scientific Processes: An Analysis of Data Events in Biodiversity Data Papers."
Here's an excerpt:
The data paper, an emerging scholarly genre, describes research datasets and is intended to bridge the gap between the publication of research data and scientific articles. Research examining how data papers report data events, such as data transactions and manipulations, is limited. The research reported on in this paper addresses this limitation and investigated how data events are inscribed in data papers. A content analysis was conducted examining the full texts of 82 data papers, drawn from the curated list of data papers connected to the Global Biodiversity Information Facility (GBIF). Data events recorded for each paper were organized into a set of 17 categories. . . . The findings challenge the degrees to which data papers are a distinct genre compared to research papers and they describe data-centric research processes in a through way.
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