Data Curious? Stop by our data tables (see what we did there?) to find out more about data curation assistance, options for data sharing, help with data management and sharing plans, data discovery, and more!
Sorrells Library
Wednesday, February 12, 10AM - 2:30PM
Hunt Library
Thursday, February 13, 10AM - 2:30PM
If you have questions about data, from finding materials to analyzing data to sharing your research, the Libraries can help. Reach out to:
The theme of this year’s Love Data Week is “Whose Data Is It, Anyway?” Think about who collects, owns, and uses the data you need (and you generate) for your research. Carnegie Mellon University Libraries is excited to help all students, faculty, and staff who are engaging with different kinds of data to understand, use, communicate, and code with it.
The following workshops will offer hands-on experience in working with and manipulating data. If you attend any individual workshop, you are eligible to receive a badge to certify your attendance at that workshop! If you attend 3+ workshops during love data week, you are eligible for the certificate.
Register to earn your Love Data Week 2025 certificate!
VIRTUAL: Getting Started with R and R Studio, Part 1 (10:00 AM)
IN PERSON: Discover Your Love Zone: Using GIS Buffering Tools (1:00 PM, Sorrells)
IN PERSON: Getting Started with R and R Studio, Part 1 (5:00 PM, Hunt)
VIRTUAL: Data Communication: Data Visualization in Tableau (9:00 AM)
VIRTUAL/IN PERSON: SQL Fundamentals (10:00 AM, Sorrells or virtual)
IN PERSON: Committing to Git: No Code Intro to Git (1:00 PM, Sorrells)
VIRTUAL: Cleaning Untidy Data with OpenRefine (5:00 PM)
IN PERSON: Taking Care of Your Data: Intro to RDM (11:00 AM, Sorrells)
IN PERSON: Data Insights for Public Policy: Using "Social Explorer" (12:00 PM, Hunt)
IN PERSON: Intro to Social Network Analysis in R (1:00 PM, Hunt)
IN PERSON: What's the Weather? Precipitation Data Sources (1:00 PM, Sorrells)
We love data all year round in the Libraries! Check out our workshop calendar for more hands-on opportunities to learn about data tools and other research resources.
This project is a collaboration between the University Libraries and the Tartan Research Data Alliance, and was built with love for the Love Data Week 2025 and the CMU community.
This visualization was created using state-of-the-art natural language processing techniques that transform thesis abstracts into a semantic map. Think of it as a GPS system for research topics that captures the semantic meaning of the research instead of just keywords, allowing us to see the conceptual relationships between theses.