Working with Web Archive Data – Sep. 29, 2020

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 […]

Connect + Learn (EASI): SharePoint Office Hours Sep 30, 2020, 12pm

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This open drop-in session is intended for SharePoint site owners and administrators who have questions, want to learn about a particular feature or need some assistance with content in the Virtual Bootcamp. We recommend that all new site owners or administrators begin with the SharePoint Site Admin Virtual Bootcamp and then drop-in for more support […]

Library Research Skills – self-paced (UTSG & UTSC)

This series of six self-paced modules created by librarians at the St. George and Scarborough campuses will introduce students to foundational library skills that will help in many university research assignments. They can be completed in any order. Topics include: Module 1: Introduction to U of T Libraries - Learn the basics about the libraries […]

Starting a Literature Synthesis: Systematic & Scoping Review Basics

Should you do a systematic or a scoping review? What is the difference? How do you start? After attending this session, you will be able to answer these questions – and more – making it easier to plan your knowledge synthesis project. Learning outcomes: distinguish between the features of, and workflows in, different types of […]

Introduction to Computational BioStatistics with R (Fall 2020) — lecture #8

In this course data analysis techniques utilizing the R statistical language, will be discussed and introduced, as well as, the basics of programming and scientific computing. The goal of this course is to prepare graduate students to perform scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into […]

Connect + Learn (EASI): Introduction to Microsoft FindTime – Oct. 1, 2020, 12pm

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Join us for this introduction to Microsoft FindTime, a tool that can help you and your colleagues find the best time to meet. FindTime shows what days and times work the best for you and the attendees using free/busy data. You can propose your selected times to all attendees and allow everyone to vote and […]

Strategies for Systematic, Scoping, or Other Comprehensive Searches of Literature ONLINE – PART II

Part 2: Beyond MEDLINE: Translating Search Strategies for Knowledge Syntheses Audience: University of Toronto graduate students and faculty engaged in health science research. UTORids will be required to participate. (if you are affiliated with UofT but do not know your UTORid, email: mikaela.grayutoronto.ca) **Please register using an UofT email address eg. @utoronto.ca or @mail.utoronto.ca** Date: […]

Tinkercad Basics

The UTSC Library is holding a series of Maker Monday sessions. This session will occur online and is facilitated by the University of Toronto Scarborough Campus. Facilitators: Adriana Sgro, Library Technician Reference & Makerspace Assistant | User Services, University of Toronto Scarborough Library Please join us for a 1-hour session on 3D design basics using […]

CANSSI Data Science ARES: Indigenous Data and Research Sovereignty in Canada and Beyond – Oct 5, 2020, 3pm

Indigenous Data and Research Sovereignty in Canada and Beyond Robyn Rowe Indigenous Scholar and PhD Candidate Laurentian University Abstract: Indigenous populations around the world have long been keepers of their own data. Traditional and cultural knowledges are often handed down, preserved, and communicated to future generations through storytelling, song, truth-telling, ceremonies, artistic expressions, totems, and […]

Introduction to Computational BioStatistics with R (Fall 2020) — lecture #9

In this course data analysis techniques utilizing the R statistical language, will be discussed and introduced, as well as, the basics of programming and scientific computing. The goal of this course is to prepare graduate students to perform scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into […]

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