Although the Map & Data Library is physically closed, we are still available remotely and happy to help. We can conduct consultations using online teleconferencing software. Please feel free to contact us at mdl@library.utoronto.ca or use our help form. We have a number of tutorials available, are still supplying software licenses, and have compiled a list of resources for working with COVID-19 data.

Please note that our computer lab is also accessible for use through remote access. See this link for more information.

COVID-19: Updates on library services and operations

Real Time Remote Access (RTRA) System

Alternative title: 
RTRA
Series title: 
Real Time Remote Access (RTRA) System
Distributor: 
Statistics Canada
Data type: 
Geography: 
Citation: 

The University of Toronto, through the Map and Data Library, subscribes to Statistics Canada's Real Time Remote Access (RTRA) system.

RTRA, is an on-line remote access system that allows users to run scripts (SAS) against microdata sets located in a central and secure Statistics Canada location. RTRA is appropriate for researchers looking for aggregate data that is not available through PUMFs (Public Use Microdata Files) do not have access to Statistics Canada's Research Data Centres (RDC) https://www.statcan.gc.ca/eng/microdata/data-centres. For more information on the RDCs, please see the University of Toronto's RDC website http://sites.utoronto.ca/rdc/.

 

RTRA APPLICATION

To begin your application process, follow the instructions here. It takes one week to create an account. Once approved, you will receive one login for 1) the EFT service to submit your SAS program online and 2) the FTP server to access and download survey resources that will help you in writing your SAS program. To access the FTP server, download and set up FileZilla using the instructions here.

 

RESOURCES

The following resources are useful to begin writing your SAS program.

  • Identifying a survey of interest:
  • Identifying variables of interest:
    • Questionnaire(s) for survey of interest
    • Dummy survey dataset (FTP resource)
    • Survey dataset codebook (FTP resource)
  • Writing the SAS code:

For more information on RTRA, see Statistics Canada's web page https://www.statcan.gc.ca/eng/rtra/rtra

 

For technical instructions on extracting data from the RTRA system, please see our RTRA SAS Programming Guide (https://mdl.library.utoronto.ca/technology/tutorials/rtra-sas-program-guide)

 

Access status: 
Restricted
Access conditions and restrictions: 

University of Toronto Faculty, Students and staff