Want to learn how to integrate storytelling into your digital projects? Join us for our workshop, Introduction to Digital Storytelling, where you will learn more about the components, the elements and the benefits of digital storytelling. By the end of this workshop, you'll be able to: list the components of digital storytelling, identify how elements

Are you interested in uncovering patterns across vast amounts of textual information? In part one of this two part workshop, we'll introduce distant reading techniques that address word count and location. By attending you will get hands-on experience exploring entry level tools such as Google Ngram, Voyant and AntConc. At the end of the workshop

The Tri-Agencies have launched the Tri-Agency Research Data Management Policy to further promote excellence in data management practices in the Canadian research community. Join us as we explore what this means for your research! We'll give you an overview of the new Tri-Agency policy, an overview the new data management plans, an introduction to the

Are you interested in uncovering patterns across vast amounts of textual information? This is the second part of our Introduction to Text Analysis workshop, which will introduce more complex concepts such as named entity recognition, sentiment analysis, and topic modelling. By attending, you will explore tools such as NER, Exploratory.io, and Topic Modelling Tool. At

R is an open source software that has gained popularity in the community due to its power and capability to make research more reproduceable. In this workshop you will learn

Are you interested in learning more about digital storytelling? This workshop will introduce you to the creative practice of capturing and manipulating your own visual media to construct meaning. By attending, you'll have to opportunity to participate in an interactive activity where you will capture, edit, and arrange media in ways that communicate messages and

Raw datasets are often quite messy. Cleaning and preparing your data is an essential step before you can begin your data analysis. This workshop will teach you the fundamentals of using the tidyverse package in R, which include but aren't limited to: manipulating columns and rows, filtering and merging datasets, converting to different variable types

As a part of our Open Scholarship Series, this workshop focuses on using open access information and open data in your projects, and provides details about the Tri-Agencies. Additionally, this

This workshop will teach you how to conduct basic inferential statistics that are commonly seen in the literature using R Studio. By attending, you can also expect to lean how to conduct the following statistical tests: an independent sample t-test, a paired sample t-test, One-way ANOVA, repeated measures ANOVA.

Learn how to create visualizations like graphs and plots using the ggplot2 package by attending this workshop! This workshop will teach you how to create highly customized plots as the ggplot2 package uses "grammar graphics" to add layers of tailored components to your graphs.

Audacity is an open source audio recording and editing tool that you can use to record and edit a voiceover for a video or a podcast! This workshop will teach you what the requirements of a basic audio recording set up are, how to record a short audio track, and practice basic editing tasks.

Are you a researcher at U of G? Join us for Academic Publishing for Authors, one of the workshops featured in our Open Scholarship Series. This workshop is designed to help you navigate through the academic publishing process including author contracts, article processing charges (APCs), and predatory journals and conferences. It will also teach you

Interested in learning more about editing and creating videos online? Join us for Create Videos with WeVideo, an online workshop that will teach you how to use WeVideo and will

Research Data Management involves a set of strategies aimed at protecting the data you collect to inform your research. This workshop will introduce you to best practices so your research data is appropriately managed during the life of your research project and beyond.

Research Data Management (RDM) involves a set of strategies aimed at protecting the data you collect to inform your research. A proper RDM approach includes: sound data storage practices to avoid loss or corruption of data security considerations to prevent exposure of your data to people who shouldn't have access to it documentation and metadata