You can also explore our list of eligible asynchronous workshops.
Events
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Introduction to TEI
University of Victoria Libraries 3800 Finnerty Road, Victoria, British Columbia, CanadaDescription:This workshop offers a three-hour introduction to the eXtensible Markup Language of the Text Encoding Initiative (TEI-XML). We’ll learn why we mark up historical and literary texts and what we can do […]
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Initiation à NVivo
NVivo est un logiciel en soutien à l’analyse qualitative. Il facilite l’organisation et l’analyse de données non structurées. Cette initiation présentera les fonctionnalités de base du logiciel : Les informations […]
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Creating Documents with LaTeX
This workshop will introduce you to LaTeX, a typesetting system commonly used in STEM disciplines to create high-quality documents and easily write mathematical equations. We will discuss tools for writing […]
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DORA: Establishing & Maintaining Researcher Profiles
The ability to effectively track and communicate your research impact is an essential skill for today’s researchers. Profile tools like ORCID, Google Scholar, and McMaster Experts provide valuable spaces to […]
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Introduction to Computational Thinking (NL)
Memorial University St John's, Newfoundland, CanadaComputational thinking is an essential skill for anyone wanting to learn to program computers and write code. This workshop takes you through the steps involved in computational thinking, learning how […]
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Introduction to Computational Thinking (NS)
Dalhousie University Halifax, Nova Scotia, CanadaComputational thinking is an essential skill for anyone wanting to learn to program computers and write code. This workshop takes you through the steps involved in computational thinking, learning how […]
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Using Spreadsheets to Organize Data
We use spreadsheet programs for entering, organizing, subsetting, and sorting data, for generating statistics and plots, and more. This course shows you some best practices that will result in fewer […]
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Data Cleaning with OpenRefine
Researchers and librarians often deal with “messy” data. This could include inconsistent interview transcripts, poorly formatted longitudinal datasets, or standardizing names for an authority file. Preparing this data for analysis […]
