Snacking on Bits and Bytes:
Learning on all things Data
Starting in September 2020, the Map & Data Library will offer an online webinar series featuring presentations and demonstrations on data-related topics and tools, such as web archives, visualization, GIS and statistics. Each presentation, including a question and answer period, will be one hour long, starting on the hour. Everyone is welcome, including those from outside the University of Toronto community. All times are Eastern time.
Please note that we will be recording all sessions. We will add captions and share videos and slides on this page, usually a week after the session. If you have any questions about the sessions, contact us at email@example.com or via our help form.
We expect all attendees to follow our Code of Conduct.
Canadian Census Discovery Portal
September 22, 2020, 2:00pm, presented by Leanne Trimble
This talk introduces the Canadian Census Discovery Portal project, an initiative that aims to inventory all census data released in what is now Canada (from the first census in 1665 New France to the present day), and make the inventory available through an open, bilingual, searchable portal. The project will bring together existing census data, some of which is "hidden" to many Canadians, and make it more accessible, usable, and ensure its availability for the long term. This talk is being held on this date in celebration of Endangered Data Week, an event which aims to foster an environment of data consciousness and promote care for endangered collections.
Registration link: https://libcal.library.utoronto.ca/event/3576479
Working with Web Archive Data
September 29, 2020, 2:00pm, presented by Nich Worby
Web archives, like the Internet Archive's Wayback Machine, have existed for almost as long as the World Wide Web. This presentation will introduce tapping into this rich but complex data source. Participants will get an overview of major web archive sources, the WARC file format, methods of accessing web archived data, as well as a demonstration of tools for analytical tasks like extracting network graphs of links, extracting images, and filtering web page text for further analysis.
Registration link: https://libcal.library.utoronto.ca/event/3577045
Digital Humanities Tools: the Digital Scholar Lab
October 8, 2020, 10:00am, presented by Nick Field
This talk introduces the Gale Digital Scholar Lab, a platform that allows users to discover and create collections of digitized texts from the Gale Historical Collections, run a variety of statistical analyses on them, and visualize the resulting data. Participants will get an overview of text mining and how to use the Digital Scholar Lab, including uploading and downloading texts and visualizations.
Registration link: https://libcal.library.utoronto.ca/event/3576943
Mapping Covid-19 Data
October 20, 2020, 2:00pm, presented by Marcel Fortin
This presentation will examine the mapping of covid-19 data. Issues discussed will include data quality, access, and cleaning. The focus of the presentation will include mapping at the international, national and local levels. Software used for the presentation will include ArcGIS Pro and QGIS.
Registration Link: https://libcal.library.utoronto.ca/event/3577279
Visualizing Citation Analysis Information
November 5, 2020, 11:00am, presented by Kelly Schultz
This session will focus on demonstrating some ideas around gathering citation data from some major databases, processing it using a free tool called Sci2, and ways of visualizing it using tools such as Gephi.
Registration Link: https://libcal.library.utoronto.ca/event/3577228
Getting Started with Python in ArcGIS Pro
November 17, 2020, 2:00pm, presented by Gerald Romme
This talk illustrates how to get started using Python in ArcGIS Pro and as a stand alone program to automate geoprocessing tools through the ArcPy site package.
Introduction to Dataverse for Sharing Data
December 1, 2020, 1200pm, presented by Laure Perrier
Dataverse is a repository for research data. This webinar will provide an introduction to Dataverse and provide participants with an overview of how to log on to Dataverse, add a dataset, restrict access to files, and give collaborators permission to edit datasets.
Registration Link: https://libcal.library.utoronto.ca/event/3577283
Getting Started with R in R Studio
December 8, 2020, 2:00pm, presented by Nadia Muhe
This session will demonstrate how to get started with R in R Studio including importing and exploring a data set. It will also give an overview of resources available to continue learning R.