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If you only had one shot – one opportunity – to make your digital dreams come true, would you capture it, or just let it slip? 

Now’s your chance, Cats! With UK Libraries’ Fall 2026 Digital Scholarship & Data Workshops, you can avoid a sweater covered in mom’s spaghetti and learn to program, wrangle data, or write a flawless data plan.

Offered by our digital scholarship and data librarians, workshops begin on Wednesday, Sep. 2 and last throughout the fall semester.

Highlights of the Fall 2026 schedule include:

  • An introductory three-session course on the use of R for data visualization, cleaning, and analysis
  • An introductory three-session course on key concepts for programming with Python
  • Virtual workshops covering free software tools and grant-specific data management plans 

Workshops are designed to help students, faculty, and researchers improve and expand their capacities to use digital tools in their work and scholarship, with broad appeal to all data-intensive disciplines or anyone looking to develop their data skills. 

The workshops are free to attend and open to all UK students, faculty, and staff. Registration is required. Find more details and register for the workshops below.

The Stacks’ New (Temporary) Home

With Margaret I. King Library closed for a multi-year renovation projectThe Stacks is moving to a new, temporary location in Room 2-34 in William T. Young Library

Our dedicated team of librarians is also relocating to Young Library, where they will continue to provide expertise and services across all areas of digital and data-intensive scholarship

Please contact TheStacks@uky.edu to inquire about the use of the space and services, or sign up for an appointment to meet via Zoom or in person with a member of our team.

Reproducible Research with Python

Have you always wanted to learn to program but never had the chance? This workshop series is your opportunity to get acquainted with the basics of Python and learn how it can be used for reproducible research. Sessions will provide guided instruction on key concepts and resources to help you hone your coding skills and continue your independent learning.

The three-part workshop series will be held twice during the semester, first during the week of September 14-18, and then on the first three Tuesdays of November.

Please do not sign up for later sessions if you are unable to attend the first.

  • Reproducible Research with Python 1
    • Session 1
      • Monday, September 14
      • 2pm – 4pm
      • Young Library Alumni Gallery
      • Register here.
    • Session 2
      • Wednesday, September 16
      • 2pm – 4pm
      • Young Library Alumni Gallery
      • Register here.
    • Session 3
      • Friday, September 18
      • 2pm – 4pm
      • Young Library Alumni Gallery
      • Register here.
         
  • Reproducible Research with Python 2
    • Session 1
      • Tuesday, November 3
      • 10am – 12pm
      • Young Library Alumni Gallery
      • Register here.
    • Session 2
      • Tuesday, November 10
      • 10am – 12pm
      • Young Library Alumni Gallery
      • Register here.
    • Session 3
      • Tuesday, November 17
      • 10am – 12pm
      • Young Library Alumni Gallery 
      • Register here.

Intro to R: Data Visualization, Description, and Transformation

This workshop series is your opportunity to get acquainted with the basics of R and learn how it can be used for data visualization, cleaning, and analysis. Sessions will provide guided instruction on key concepts, hands-on practice with real datasets (including survey data on Midwestern identity and over a century of Kentucky Derby results), and resources to continue your independent learning. No prior coding experience is necessary. 

The three-part workshop series will be held twice during the semester, first during the week of September 14-18, and then on the first three Tuesdays of November.

Users will need to bring their own laptops to participate.

  • Intro to R 1
    • Session 1
      • Monday, September 14
      • 10am – 12pm
      • Young Library Alumni Gallery
      • Register here.
    • Session 2
      • Wednesday, September 16
      • 10am – 12pm
      • Young Library Alumni Gallery
      • Register here.
    • Session 3
      • Friday, September 18
      • 10am – 12pm
      • Young Library Alumni Gallery
      • Register here.
         
  • Intro to R 2
    • Session 1
      • Tuesday, November 3
      • 1:30pm – 3:30pm
      • Young Library Alumni Gallery
      • Register here.
    • Session 2
      • Tuesday, November 10
      • 1:30pm – 3:30pm
      • Young Library Alumni Gallery
      • Register here.
    • Session 3
      • Tuesday, November 17
      • 1:30pm – 3:30pm
      • Young Library Alumni Gallery
      • Register here.

Digital Scholarship & Data: Software Tools & Data Management Plans

Workshops held throughout the semester will introduce users to a variety of special topics in digital scholarship and data management. This semester, discover free software tools available through UK and grant-specific data management plans.

  • Software Sampler: Free Software Licenses from UK
    • Don’t break the bank for expensive software! Members of the UK community have free access to a wide range of popular software for academic use, including Adobe Creative Cloud, Microsoft 365, EndNote, MATLAB, and more. This online presentation will explore how to access these and other programs for free by using the ITS Software Downloads Center and the UK Virtual Den, as well as how to sign up for academic licenses for other software directly. 
    • Wednesday, September 2
    • 1pm – 2pm
    • Zoom
    • Register here.
  • Navigating the NIH Data Management and Sharing Policy at UK
    • In May of 2026, the NIH began requiring use of a new simplified data management and sharing plan template for all proposals generating scientific data. At this session, Research Data Librarian Isaac Wink will cover the major elements of the policy researchers need to know and provide guidance on writing successful data management and sharing plans. 
    • Wednesday, September 9
    • 12pm – 1pm
    • Zoom
    • Register here
  • Navigating the NSF Data Management and Sharing Policy at UK
    • The NSF recently updated its public access policy and now requires that all proposals submit a data management and sharing plan with the research.gov portal. At this session, Research Data Librarian Isaac Wink will cover the major elements of the policy that researchers need to know and provide guidance on writing successful data management and sharing plans. 
    • Friday, September 11
    • 12pm – 1pm
    • Zoom
    • Register here.