Data service landscape scan

R code and data for a landscape scan of data services at academic libraries

Summary

This work generally focuses on four questions:

1. Which research data services does an academic library provide?
2. For a subset of those services, what form does the support come in? i.e. consulting, instruction, or web resources?
3. Are there differences in support between three categories of services: data management, geospatial, and data science?
4. How does library resourcing (i.e. salaries) affect the number of research data services?

Approach

Using direct survey of web resources, we investigated the services offered at 25 Research 1 universities in the United States of America.

Dependencies

The following R packages are used in this work:

• dplyr
• ggplot2
• ggpubr
• lme4
• multcomp
• readr
• stringr
• tidyr

Directory structure

• data: data used in this work; see data/README.md for more information
• eda: preliminary exploratory data analyses; see eda/README.md for more information
• output: destination for outputs like plots; files are not under version control
• scripts: R scripts with bulk of analysis and data visualization for this project; see scripts/README.md for more information