Abstract
<strong>Objective</strong>: Evaluate and examine Data Literacy (DL) in the supported disciplines of four liaison librarians at a large research university. <strong>Methods</strong>: 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. <strong>Results</strong>: 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. <strong>Conclusions</strong>: 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.
Highlights
Data is a major discussion topic and trend in academic institutions around the world
While many of the previous syllabi studies focused on either a few disciplines or identifying information literacy needs, the purpose of this study is to look at disciplines that have been overlooked in known Data Literacy (DL) studies
“yes” there is evidence of DLs and “no” there is no evidence of DLs were coded with a 1 or a 0
Summary
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
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