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# Library Data Services Landscape Scan

Preferred citation (DataCite format):

  Oliver, Jeffrey C; Rios, Fernando; Carini, Kiriann; Ly, Chun (2023).
  Library Data Services Landscape Scan.
  University of Arizona Research Data Repository.
  Dataset. https://doi.org/10.25422/azu.data.22297177


Corresponding Author:
  Jeffrey C Oliver, Research Engagement, University Libraries, University of Arizona, jcoliver@arizona.edu


License:
  BSD 3-Clause
  CC By 4.0


DOI:
  https://doi.org/10.25422/azu.data.22297177



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## Summary

R code and data for a landscape scan of data services at academic libraries. Original data is
licensed CC By 4.0, data obtained from other sources is licensed according to the original 
licensing terms. R scripts are licensed under the BSD 3-clause license.

## 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.

Please refer to the included README.md files for more information.



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## Files and Folders

1. data.zip: This file contains the data used in this work. For more information, please refer to the "data/README.md" file.
2. eda.zip: This file contains preliminary exploratory data analyses. For more information, please refer to the "eda/README.md" file.
3. scripts.zip: This file contains R scripts that perform the bulk of the analysis and data visualization for this project. For more information, please refer to the "scripts/README.md" file.



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## Materials and Methods

-R programming language with the following packages:
  - dplyr
  - ggplot2
  - ggpubr
  - lme4
  - multcomp
  - readr
  - stringr
  - tidyr



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## Contributor Roles

The roles are defined by the CRediT taxonomy http://credit.niso.org/

  - Jeffrey Oliver, University of Arizona: Conceptualization, Formal Analysis, Methodology, Validation, Visualization, Writing – original draft, Writing – review & editing
  - Fernando Rios, University of Arizona: Conceptualization, Methodology, Validation, Writing – review & editing
  - Chun Ly, University of Arizona: Conceptualization, Methodology, Validation, Writing – review & editing
  - Kiriann Carini, University of Arizona: Conceptualization, Methodology, Validation, Writing – review & editing



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## Additional Notes

Links:
  - https://github.com/UAL-RE/data-service-landscape-scan