How and Why do Researchers Reference Data? A Study of Rhetorical Features and Functions of Data References in Academic Articles
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Abstract (arXiv)
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.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). First posted on arXiv 16 Feb 2023.
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Citing papers per year: 2026: 3.
3 papers.
- 2026Improving Attributed Long-form Question Answering with Intent Awarenesscited by 2
- 2026Measuring research data reuse in scholarly publications using generative artificial intelligence: Open Science Indicator development and preliminary resultscited by 0
- 2026Data Citation for Large Language Models: A Challengecited by 0
- 2026Data Citation for Large Language Models: A Challenge26 Aug 2026
- 2026Measuring research data reuse in scholarly publications using generative artificial intelligence: Open Science Indicator development and preliminary results30 Apr 2026
- 2026Improving Attributed Long-form Question Answering with Intent Awareness28 Mar 2026