Tuesday, September 24, 2024
11 a.m.
University Libraries Workshop Calendar Thumbnail 2024Working with a messy dataset? Join us for a hands-on workshop on OpenRefine, a powerful tool for cleaning and wrangling messy data. Participants will learn how to use OpenRefine to efficiently explore, clean, and organize datasets, making them ready for analysis. Whether you’re dealing with inconsistent data or you need to streamline your data preparation, this session will provide the skills and tips you need to get the most out of this versatile platform. No prior experience with OpenRefine is required.
11 a.m.
University Libraries Workshop Calendar Thumbnail 2024Working with a messy dataset? Join us for a hands-on workshop on OpenRefine, a powerful tool for cleaning and wrangling messy data. Participants will learn how to use OpenRefine to efficiently explore, clean, and organize datasets, making them ready for analysis. Whether you’re dealing with inconsistent data or you need to streamline your data preparation, this session will provide the skills and tips you need to get the most out of this versatile platform. No prior experience with OpenRefine is required.
1 p.m.
University Libraries Workshop Calendar Thumbnail 2024This workshop is packed with essential information about the research process to help you get started with your thesis project. Learn about research tools and strategies that will help you gather sources for your literature review. You’ll also find out how to get the most out of databases such as Dissertations and Theses Global, and Web of Science (covers science, social sciences, and humanities content).
2 p.m.
Join Mr. Steve Reed on Zoom to learn more about Faculty Success.
4 p.m.
University Libraries Workshop Calendar Thumbnail 2024Learn about different kinds of information sources from the scholarly article to the crowdsourced database. Identify types of sources (primary, secondary, and tertiary), and distinguish between performance scores and scholarly editions. Determine what makes a source authoritative and when non-scholarly sources like Wikipedia, YouTube, and Discogs can be useful in your research.