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Geography is one of the defining factors in scientific collaboration. Despite the voluminous evidence for how geographical proximity shapes the formation of collaboration in research articles, it has been rarely examined in the emerging genre of data papers, one that describes research data and has enjoyed growing attention in the data‐driven paradigm of research. This poster presents preliminary findings from our project that aims to evaluate the geographical dynamics behind the production of data papers. We analyze how researchers from different countries collaborate with one another using 6,821 data papers published in Scientific Data and Data in Brief between 2014 and 2020. We found that data papers rely heavily upon domestic collaboration and the collaboration pattern largely mirrors that of research articles, although some distinctiveness was also observed. We discuss future work in conclusion, with the ultimate goal of opening a more meaningful conversation about the relationship between the data‐driven paradigm and knowledge production. [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]

As data becomes omnipresent in the scientific system, a new academic genre aiming to describe data objects (data papers) and the venue to publish these articles (data journals) gradually emerged from the end of the 2000s. However, it is largely unknown how much these scientific outputs are indexed in scientific databases, which has greatly prevented them from being thoroughly studied in large‐scale, quantitative studies. This poster presents our preliminary efforts to address this gap, by compiling a list of data journals that primarily accept data papers (i.e., exclusively data journals) and examining their presence in four major scientific databases. Our results indicate that exclusively data journals are comprehensively indexed in Crossref and Dimensions, two relatively new scientific databases, which can be used to conduct future studies on data papers and journals. The next steps of our project are also discussed in this poster. [ABSTRACT FROM AUTHOR]

Precision poverty relief, a similar concept to targeted poverty relief, has gained tremendous momentum in China since 2013 when it, as a new strategy to the lasting anti‐poverty battle in China, was officially acknowledged by the Chinese Central Government. A series of policies and implementation plans were subsequently issued, either dedicating themselves to this new strategy or to include it as a critical part of a more encompassing measure. To state it is new is not to suggest that the idea only emerged in 2013 but to emphasize its gain of official recognition. In addition, precision poverty relief is reviewed as new in recent years because of the new developments and deployments of information technologies in China, or, as by its Chinese expression, informationalization. This visual presentation reports on the preliminary findings of the project Digital Information and Societal Change, a subtask of the Records‐Centred Digital Information Management Theory and Mechanisms (DI{R}Mtm), which aimed at examining the role of information and informationalization in relation to precision poverty relief strategy. [ABSTRACT FROM AUTHOR]