Resource Hub
Our self-serve catalogue of research and innovation resources and supports
The Map and Data Library offers a rich and diverse set of supports and services related to maps, datasets, microdata, data visualization, statistics, geospatial data portals, research data management, and more.
SAS is a powerful, feature-rich, statistical analysis program. It is used in a wide variety of disciplines.
The SPSS software platform offers advanced statistical analysis, a vast library of machine learning algorithms, text analysis, open source extensibility, integration with other applications.
The Toronto Region Statistics Canada Research Data Centre (RDC) is a secure computer lab where approved researchers can access and analyze confidential microdata from Statistics Canada surveys and administrative databases, including Census data, General Social Surveys (GSS), and Canadian Community Health Surveys (CCHS).
The BRU is a collaborative team of experienced statisticians providing biostatistical guidance to affiliated researchers throughout the life cycle of a project.
Digital Scholarship Services at the University of Toronto Libraries (UTL) supports research using digital methods and tools (e.g. text and data mining), and provides help with APIs.
Through a combination of videos, web pages, quizzes, and activities, this self-paced online course will provide an introduction to R using RStudio. The topics covered are importing and exploring data, graphs, managing data, tidyverse and R markdown.
The Carpentries builds global capacity in essential data and computational skills for conducting efficient, open, and reproducible research. The Carpentries project comprises the Software Carpentry, Data Carpentry, and Library Carpentry communities that offer training in foundational computational and data science skills to researchers.
SAS is a powerful, feature-rich, statistical analysis program. It is used in a wide variety of disciplines.
The SPSS software platform offers advanced statistical analysis, a vast library of machine learning algorithms, text analysis, open source extensibility, integration with other applications.
The BRU is a collaborative team of experienced statisticians providing biostatistical guidance to affiliated researchers throughout the life cycle of a project.
Digital Scholarship Services at the University of Toronto Libraries (UTL) supports research using digital methods and tools (e.g. text and data mining), and provides help with APIs.
The Carpentries builds global capacity in essential data and computational skills for conducting efficient, open, and reproducible research. The Carpentries project comprises the Software Carpentry, Data Carpentry, and Library Carpentry communities that offer training in foundational computational and data science skills to researchers.
The Map and Data Library offers a rich and diverse set of supports and services related to maps, datasets, microdata, data visualization, statistics, geospatial data portals, research data management, and more.
The Toronto Region Statistics Canada Research Data Centre (RDC) is a secure computer lab where approved researchers can access and analyze confidential microdata from Statistics Canada surveys and administrative databases, including Census data, General Social Surveys (GSS), and Canadian Community Health Surveys (CCHS).
Digital Scholarship Services at the University of Toronto Libraries (UTL) supports research using digital methods and tools (e.g. text and data mining), and provides help with APIs.
