Datasets, a Shift in the Currency of Scholarly Communication: Implications for Library Collections and Acquisitions

Davis, Hilary; Vickery, John

doi:10.1016/j.serrev.2006.11.004

Cited by 15 publications

(11 citation statements)

References 13 publications

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“…Using publicly available data and sharing data among researchers is not a new phenomenon (Emile Durkheim used national statistics in his 1897 study of suicide), but the widespread recognition of research data as a valuable commodity to be archived, disseminated, and accessed is more recent. 6 Along with this recognition has come concern about the lack of standards for citation of numeric datasets. Early publications from the data-sharing movement recognize citation as an issue.…”

Section: Data Sharing and Citationsmentioning

confidence: 99%

Citing data sources in the social sciences: do authors do it?

Mooney

2011

Learned Publishing

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It is expected that authors will provide citations for all papers referenced in their writings. The necessity of providing citations for data is not so widely recognized. Proponents of the data‐sharing movement have advocated the citation of datasets in order to recognize contributions and enhance access. This study examines a sample of papers from the Inter‐University Consortium for Political and Social Research (ICPSR) Bibliography of Data‐Related Literature that are based on secondary analysis of datasets available in the ICPSR data archive to determine the data citation practices of authors. The results indicate that many authors fail to cite the data used in secondary analysis studies. Possible reasons for the dismal state of data citation practices are considered, including the recent introduction of data into the scholarly record and its marginalization as an information format. Updating citation practices to include datasets will support data sharing and foster responsible scholarship.

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Section: Data Sharing and Citationsmentioning

confidence: 99%

Citing data sources in the social sciences: do authors do it?

Mooney

2011

Learned Publishing

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“…e-Science revolutionized the process of scientific discovery by enabling data-centric science or scientists sharing their data through technological development and collaborative effort (Hey & Trefethen, 2008). In addition, primary data collected by individual scientists becomes an important "information currency" along with research analyses and findings in the traditional publications (Davis & Vickery, 2007). As the primary data become important in terms of scientific research and scholarly communication, data sharing is now essential in most modern research activities.…”

Section: Introductionmentioning

confidence: 99%

Institutional and individual factors affecting scientists' data‐sharing behaviors: A multilevel analysis

Kim

Stanton

2015

Asso for Info Science & Tech

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The objective of this research was to investigate the institutional and individual factors that influence scientists' data-sharing behaviors across different scientific disciplines. Two theoretical perspectives, institutional theory, and theory of planned behavior, were employed in developing a research model that showed the complementary nature of the institutional and individual factors influencing scientists' data-sharing behaviors. This research used a survey method to examine to what extent those institutional and individual factors influence scientists' data-sharing behaviors in a range of scientific disciplines. A national survey (with 1,317 scientists in 43 disciplines) showed that regulative pressure by journals, normative pressure at a discipline level, and perceived career benefit and scholarly altruism at an individual level had significant positive relationships with data-sharing behaviors, and that perceived effort had a significant negative relationship. Regulative pressure by funding agencies and the availability of data repositories at a discipline level and perceived career risk at an individual level were not found to have any significant relationships with data-sharing behaviors.

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“…Raw data sets have become important "information currency" for scholarly communication (Davis & Vickery, 2007). Not only do data sets add value to traditional journal publications, they also increase transparency and facilitate high quality, continued research.…”

Section: Introductionmentioning

confidence: 99%