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.
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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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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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Need to create a map and all you have are latitude and longitude values for each point? This workshop will help you to turn your data into a simple map. No experience necessary.
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This workshop provides an overview of python libraries and commands for text analytics. No prior experience necessary.
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Discover the range of IT services available to support research at UGA. In addition to high-performance computing resources, participants will learn about tools and support for data storage, research security, collaboration platforms, virtual environments, and more. Attend this session to learn how UGA’s IT infrastructure can help advance your research.
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