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Python notebook featuring analysis of data and statistical resources collected from academic library LibGuides.

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Data resources on academic LibGuides

Code used to analyze data collected for the paper:

Hennesy, C., Kubas, A., & McBurney, J. (2023). "Taking count: A computational analysis of data resources on academic LibGuides," IASSIST Quarterly 47(2). https://doi.org/10.29173/iq1040

The Python notebook includes code that can be used to replicate the study using data available in DRUM. The study collects and analyzes data and statistical resources shared at academic libraries via the LibGuides platform.

See table of the 200 most common data resources found on academic LibGuides.

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Python notebook featuring analysis of data and statistical resources collected from academic library LibGuides.

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