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May 2, 2023 by Gary Price

Journal Article: “How and Why Do Researchers Reference Data? A Study of Rhetorical Features and Functions of Data References in Academic Articles”

May 2, 2023 by Gary Price

The article linked below was recently published by Data Science Journal.

Title

How and Why Do Researchers Reference Data? A Study of Rhetorical Features and Functions of Data References in Academic Articles

Authors

Sara Lafia
Inter-University Consortium for Political and Social Research (ICPSR)

Andrea Thome
University of Arizona

Elizabeth Moss
Inter-University Consortium for Political and Social Research (ICPSR)

David Bleckley
University of Michigan

Libby Hemphill
University of Michigan

Source

Data Science Journal
Vol. 23 (2022)

DOI:10.5334/dsj-2023-010

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.

Overview of Parent Codes, Subcodes, and Definitions Source: 10.5334/dsj-2023-010

Direct to Full Text Article

Filed under: Data Files, Journal Articles, News

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About Gary Price

Gary Price (gprice@gmail.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com.

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