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Article Type

Full-Length Paper

Publication Date

2020-02-03

DOI

10.7191/jeslib.2020.1169

Abstract

Objective: Evaluate and examine Data Literacy (DL) in the supported disciplines of four liaison librarians at a large research university.

Methods: Using a framework developed by Prado and Marzal (2013), the study analyzed 378 syllabi from a two-year period across six departments—Criminal Justice, Geography, Geology, Journalism, Political Science, and Sociology—to see which classes included DLs.

Results: The study was able to determine which classes hit on specific DLs and where those classes might need more support in other DLs. The most common DLs being taught in courses are Reading, Interpreting, and Evaluating Data, and Using Data. The least commonly taught are Understanding Data and Managing Data skills.

Conclusions: While all disciplines touched on data in some way, there is clear room for librarians to support DLs in the areas of Understanding Data and Managing Data.

Keywords

Data Literacies, Data Competencies, Research Data Management, Data Services, Case Study, Academic Libraries, Open Data, Big Data, Data Skills, Reading Data, Interpreting and Evaluating Data, Using Data, Understanding Data, Managing Data

Data Availability

Data associated with this article is located in an institutional Google Drive and is shareable upon request.

Corresponding Author

Chrissy Klenke, University of Nevada, Reno, University Libraries, DeLaMare Library, MS 0262, 1664 N. Virginia St., Reno, NV 89503; cklenke@unr.edu

Rights and Permissions

Copyright: © 2020 Klenke, Schultz, Tokarz, and Azadbakht. This is an open access article licensed under the terms of the Creative Commons Attribution License.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.

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