Learning Materials
If you have an audio or video file that you need to get transcribed, this page describes some automated options to consider. But keep in mind, though, that none of these options (including NVivo transcription) provides a 100% perfectly accurate transcript. You will always have to go back in and correct your transcript.
Note: If you want to pay a human to transcribe things accurately (so no or minimal correction is needed later), you could try Rev or Transcript Divas.
This page provides an overview and tips for working as a team using NVivo. There are three main options: the manual way, the old collaboration cloud, and the new collaboration cloud. There is also NVivo Collaboration Server, but that involves purchasing, setting up, and maintaining NVivo Server software, and it only works in a Windows environment with NVivo 12 or 13.
This tutorial will help you get up and running querying the Canadian Intellectual Property Office (CIPO) Patent PostgreSQL Database. It will cover accessing the high performance computing environment, querying the database via SQL statements and from within a python script, and downloading the results of the query.
You will need a Compute Canada account with the proper credentials to access this database. If you haven’t done so already, you should first follow the instructions to get your account set up.
Note: This tutorial is intended for Windows users. If you are using a Mac, check out this tutorial instead.
This tutorial will help you get up and running querying the Canadian Intellectual Property Office (CIPO) Patent PostgreSQL Database. It will cover accessing the high performance computing environment, querying the database via SQL statements and from within a python script, and downloading the results of the query.
You will need a Compute Canada account with the proper credentials to access this database. If you haven’t done so already, you should first follow the instructions to get your account set up.
Note: This tutorial is intended for Mac users. If you are using Windows, check out this tutorial instead.
Learn the basics of GIS with open source software, QGIS (https://qgis.org). This tutorial/workshop is made up of three modules.
- Module 1. Getting started
- Module 2. Making a map using layouts
- Module 3. Manipulating geospatial datasets
Download the datasets used for this workshop at this location: https://maps.library.utoronto.ca/workshops/QGIS/2022/QGIS.zip
Note that while the examples shown in this tutorial were captured using the windows version of QGIS, all modules and operations can be completed using the linux or mac OS version of QGIS.
For a gentle and thorough introduction to R, enroll in this Introduction to R quercus course here. To enroll, you will need to use your UTORid login. This course consists of demonstration video, activity and quizzes. By enrolling in this course, you can keep track of your progress! If you are a member of the public and you do not have a UTORid login, you can access the videos in the following guide below.
This is a beginner level tutorial for NVivo 12 for Mac. The goal of this tutorial is to learn about the basic features in NVivo that will allow you to organize and analyze qualitative data. Part 1 will go over the basics of navigating the NVivo interface, importing data, and coding with nodes. Part 2 will explore the different types of queries you can run in NVivo. If you already have a grasp of the basics and are just interested in learning about queries, you can jump right to Part 2.
This tutorial outlines the steps taken in the demonstration during the live workshop on an Introduction to Data Visualization Using Tableau Desktop. This is a companion tutorial, but can also be used as a stand-alone introduction to Tableau Desktop.
This is a beginner level tutorial for NVivo 12 for Windows. The goal of this tutorial is to learn about the basic features in NVivo that will allow you to organize and analyze qualitative data. Part 1 will go over the basics of navigating the NVivo interface, importing data, and coding with nodes. Part 2 will explore the different types of queries you can run in NVivo. If you already have a grasp of the basics and are just interested in learning about queries, you can jump right to Part 2.
SimplyAnalytics is a web-based data visualization application that can be used to create simple thematic maps and support analyses of socio-demographic data. This tutorial introduces SimplyAnalytics and its capabilities with the help of videos produced by our colleagues at UTSC.
ArcGIS Pro is a desktop GIS software developed by Esri.
ArcGIS Online is a web-based mapping software that allows you to build, share, and access interactive web maps.
ArcGIS StoryMaps is an online storytelling tool that allows users to craft and publish powerful narratives using maps.
The HathiTrust Research Center (HTRC) is the research arm of HathiTrust. It develops tools and resources that enable text or computational analysis of the HathiTrust corpus. This corpus or digital library includes over 10 million volumes (mostly books and journals), 3 million of which are in the public domain. It covers 400 languages and publication dates from 1500 to the present day, representing a broad variety of subjects.
Infographics are a type of data visualization. They are usually a mixture of text and images, but they are graphic heavy, often only visualize a small amount of data, and have specific goals. Those goals are normally to inform or persuade through storytelling. They are often shared on websites and social media for marketing purposes, but they are becoming more popular in a variety of situations to convey your data and message to your audience in a more unique and appealing way.
ProQuest TDM Studio is a web platform for running text analyses on thousands of ProQuest materials, including but not limited to, ProQuest Dissertations & Theses and the New York Times.
The Gale Digital Scholar Lab is a platform that allows users to discover and create collections of digitized texts from the Gale Historical Collections, run a variety of textual analysis on them, and visualize the resulting data.
Gephi is an open-source network analysis and visualization program that allows users to analyze and display relationships between individuals, groups, and other entities in a network.
NVivo is a program used for qualitative data analysis. It supports researchers in managing, organizing, and analyzing qualitative data to produce new insight, infer relationships, and identify themes.
R is a programming language and a free software environment to write and execute the R language. RStudio is an Integrated Development Environment that provides free and open-source tools for R. While you can run your data analysis in the basic R environment, RStudio has a more intuitive interface and more tools to help you write your R code.
Stata is a statistical software for data manipulation, data visualization and data analysis.
Data Visualization is a broad term that basically involves anything that uses graphical or pictorial representations of data for exploration, sense-making, and communication. Data visualization allows you and your audience to identify patterns, trends, exceptions, and relationships. It has broad applicability from conveying abstract concepts or ideas to highly complex scientific data.
This page will highlight the resources we offer on data visualization and using Tableau. Tableau is a commercial program used to create data visualizations and interactive dashboards.
OpenRefine is a free, open-source program used for working with messy data. It allows you to clean, transform, and augment data in preparation for analysis and visualization.
Return to the main Gale Digital Scholar Lab tutorial
Here are some ways to dig deeper into the archival and instructional materials in the Digital Scholar Lab.
Return to the main Gale Digital Scholar Lab tutorial
This tutorial demonstrates how to use the Digital Scholar Lab's six analysis tools.
Please note that Gale is periodically adding new documents to their collections, so your document counts and results may look slightly different from our screenshots and examples below.