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Digital Scholarship Professional Development for Librarians
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modules Fixed Internet Archive link Jan 27, 2020
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README.md

README.md

Digital Scholarship Meta-Modules: Professional Development for Librarians

The Social Science Research Council (SSRC) has published a series of self-guided modules to introduce “digital novices” to the basics of the diverse areas of digital scholarship. These modules are primarily aimed at an audience of faculty and students (particularly graduate students), and many of the topics have a social-science emphasis.

While in general these modules are a fantastic resource for those new to digital scholarship, they were not necessarily created for an audience within academic libraries. Librarians who wish to gain a basic familiarity with the breadth of topics, methodologies, tools, and vocabulary associated with digital scholarship will likely find these modules useful on the whole, but their specific learning objectives, readings, and questions to consider are primarily aimed at faculty and students who want to integrate digital tools and methods into their research or teaching.

In order to transform the SSRC’s Doing Digital Scholarship modules into a more useful training opportunity for librarians, we have created a series of “meta-modules” which are based on the SSRC’s modules, with the goal of more closely aligning these self-guided lessons with librarian professional development. The “meta-modules” provide additional background, guidance, and questions to consider that are specific to an audience of library faculty and staff who wish to develop their awareness of digital scholarship tools, methods, and vocabulary in order to expand their knowledge and skillsets in these areas or better support researchers engaged in digital scholarship.

Modules

  1. What Is Digital Scholarship (and How Are Libraries Supporting It)?
  2. Working with Digital Collections
  3. Developing Digital Projects
  4. Annotating and Crowdsourcing Digital Projects
  5. Digital Publishing
  6. Data Wrangling
  7. Data Visualization

License and Credits

Creative Commons Attribution 4.0 International (CC-BY-4.0)

You are free to share and adapt this material, provided that you give appropriate credit, provide a link to the license, and indicate if changes were made.

Feedback

If you would like to provide feedback on your experience with these modules, please fill out an anonymous evaluation form!

Contributors:

  • Dr. Rachel Starry, University at Buffalo (SUNY)
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