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      How research data is cited in scholarly literature: A case study of HINTS

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      Learned Publishing
      Wiley

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          Abstract

          This study investigated how Health Information National Trends Survey (HINTS) data from the U.S. National Cancer Institute (NCI) was cited in the scholarly literature. It addressed the following research questions: (1) What patterns of citations exist among authors of research articles using HINTS data? and (2) How is the citation format of HINTS data characterized? We collected scholarly articles that used HINTS data as primary or secondary data for analysis from Web of Science databases and HINTS publications on the NCI website. Among the resulting 250 articles, we identified citations to HINTS data themselves (data citations) and those to HINTS‐related documents (data‐related citations). Among the 250 articles, 156 articles (62.4%) cited HINTS data or HINTS‐related documents; only 29 articles (11.6%) cited HINTS data, while 127 (50.8%) cited HINTS‐related documents. Both data and data‐related citations increased over time. Data citation format varied, and 13 different compositions of citation elements were identified. Author, Title, and Location (URL) were common elements. The frequent use of URLs is undesirable due to URL instability. Furthermore, the data citations showed not only various compositions of citation elements but also ill‐defined element formats. Standardized citation formats are therefore needed.

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          Is Open Access

          Research data explored: an extended analysis of citations and altmetrics

          In this study, we explore the citedness of research data, its distribution over time and its relation to the availability of a digital object identifier (DOI) in the Thomson Reuters database Data Citation Index (DCI). We investigate if cited research data “impacts” the (social) web, reflected by altmetrics scores, and if there is any relationship between the number of citations and the sum of altmetrics scores from various social media platforms. Three tools are used to collect altmetrics scores, namely PlumX, ImpactStory, and Altmetric.com, and the corresponding results are compared. We found that out of the three altmetrics tools, PlumX has the best coverage. Our experiments revealed that research data remain mostly uncited (about 85 %), although there has been an increase in citing data sets published since 2008. The percentage of the number of cited research data with a DOI in DCI has decreased in the last years. Only nine repositories are responsible for research data with DOIs and two or more citations. The number of cited research data with altmetrics “foot-prints” is even lower (4–9 %) but shows a higher coverage of research data from the last decade. In our study, we also found no correlation between the number of citations and the total number of altmetrics scores. Yet, certain data types (i.e. survey, aggregate data, and sequence data) are more often cited and also receive higher altmetrics scores. Additionally, we performed citation and altmetric analyses of all research data published between 2011 and 2013 in four different disciplines covered by the DCI. In general, these results correspond very well with the ones obtained for research data cited at least twice and also show low numbers in citations and in altmetrics. Finally, we observed that there are disciplinary differences in the availability and extent of altmetrics scores.
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            Citation and Peer Review of Data: Moving Towards Formal Data Publication

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              Data Citation and Peer Review

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                Author and article information

                Contributors
                Journal
                Learned Publishing
                Learned Publishing
                Wiley
                0953-1513
                1741-4857
                July 2019
                January 04 2019
                July 2019
                : 32
                : 3
                : 199-206
                Affiliations
                [1 ] School of Information University of South Florida Tampa FL USA
                [2 ] Department of Library and Information Science Ewha Womans University Seoul South Korea
                [3 ] Department of Library and Information Science Myungji University Seoul South Korea
                Article
                10.1002/leap.1213
                050ee796-4755-4430-aa01-574af72c83ee
                © 2019

                http://onlinelibrary.wiley.com/termsAndConditions#vor

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