How and Why Do Researchers Reference Data? A Study of Rhetorical Features and Functions of Data References in Academic Articles
Affiliation
School of Information, University of ArizonaIssue Date
2023-04-28
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Ubiquity PressCitation
Lafia, S, Thomer, A, Moss, E, Bleckley, D and Hemphill, L. 2023. How and Why Do Researchers Reference Data? A Study of Rhetorical Features and Functions of Data References in Academic Articles. Data Science Journal, 22: 10, pp. 1–15. DOI: https://doi.org/10.5334/dsj-2023-010Journal
Data Science JournalRights
© 2023 The Author(s). This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Data reuse is a common practice in the social sciences. While published data play an essential role in the production of social science research, they are not consistently cited, which makes it difficult to assess their full scholarly impact and give credit to the original data producers. Furthermore, it can be challenging to understand researchers’ motivations for referencing data. Like references to academic literature, data references perform various rhetorical functions, such as paying homage, signaling disagreement, or drawing comparisons. This paper studies how and why researchers reference social science data in their academic writing. We develop a typology to model relationships between the entities that anchor data references, along with their features (access, actions, locations, styles, types) and functions (critique, describe, illustrate, interact, legitimize). We illustrate the use of the typology by coding multidisciplinary research articles (n = 30) referencing social science data archived at the Inter-university Consortium for Political and Social Research (ICPSR). We show how our typology captures researchers’ interactions with data and purposes for referencing data. Our typology provides a systematic way to document and analyze researchers’ narratives about data use, extending our ability to give credit to data that support research. © 2023 The Author(s).Note
Open access journalISSN
1683-1470Version
Final Published Versionae974a485f413a2113503eed53cd6c53
10.5334/dsj-2023-010
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Except where otherwise noted, this item's license is described as © 2023 The Author(s). This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License.

