GradUP skill development program
Walk-in research data consultations are back! Bring your research data or digital scholarship projects, and ask the RCDM team about text and data analysis, GIS mapping, and data visualization tips and tools -- including R, Python, Excel, ArcGIS, QGIS, and ggplot2.
Serving two locations:
Curious about turning your data into engaging graphs? This workshop will introduce you to Python and popular visualization tools like Matplotlib and Seaborn. You’ll learn how to load datasets, create charts, and customize your visuals - no prior coding experience needed.
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A practical webinar on finding data for academic research. This session will equip you with the tools and strategies to uncover high-quality, relevant datasets.
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Learn the ins and outs of downloading and using UGA’s EndNote to create and organize your references.
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You may know about systematic reviews. But did you know that there are a variety of ways to review and synthesize literature on a topic? Learn about different approaches and resources that can assist you.
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Sandra Riggs, Humanities & Social Sciences Librarian
Make your research data stand out! Learn how to create elegant data visualization graphics in R using the ggplot2 package.
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This workshop will serve as a gentle introduction to the Unix/Linux command line with a special focus on how it can be used to search and manipulate text.
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This workshop will provide an introduction to generative AI tools for research, including Research Rabbit, Scispace, and NotebookLM. We’ll discuss how the tools work, how they can aid your research, and pitfalls to look out for when using generative AI in research.
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In this session, we’ll explore the essential stages of managing research data, starting with early planning and continuing through active project management to long-term preservation. You’ll gain practical strategies for developing a strong data management approach, including creating a data management plan (DMP), selecting appropriate storage solutions, organizing and documenting your data effectively, and preparing it for future access, reuse, and compliance.
Learn how to organize, clean, and perform calculations on your data, using Excel.
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