This session follows four themes. First, it will describe the RDC, the principal data it supports and the application process. Second, it will discuss the growth in administrative and linked administrative data files being made available by Statistics Canada. Third, it will highlight some of the pilot data, particularly business related, that the RDC hosts. The session concludes with a discussion on how the McMaster RDC and Data Services (DLI) has worked together to promote the use of data on campus to meet the needs of researchers.

The Canadian Research Data Centre Network (CRDCN) template summarizes the data management that is conducted by Statistics Canada and the CRDCN on behalf of researchers. While there are some advantages to working inside the RDC for data management, there is also a substantial drawback: RDC data can never be deposited in a repository in accordance with the recommended best practices for research data management. Because of this, researchers should be mindful of other options to engage in best practices. In addition to ensuring that the RDC project folder is well documented, and consistent with the research output, researchers should curate a supporting data deposit at a recognized repository in their discipline or within the Federated Research Data Repository (FRDR) containing metadata, syntax (code that produces a statistical output), and any other supporting material for the research project. This template is for researchers who are doing RDC work using Statistics Canada data and research data that they have either brought into the RDC “supplemental data” or are analyzing in parallel to their work in the RDC (such as mixed-methods) or public use statistics that compliment the RDC work (hereafter: external data). Researchers should be aware that any data brought into the RDC will be stored alongside the rest of their project material subject to the information management protocols from Statistics Canada. This is a free, relatively straightforward, process and researchers can obtain more information by talking to their RDC analyst. If your work is being conducted in the RDC using only data provided through the RDC program then the RDC-only template should be completed and not this template. For more information, visit www.crdcn.org.

Updates on the Research Data Centre (RDC) Program, including newly approved centres, upcoming pilots, future data development, new data, and currently available data.

This presentation is an opportunity to learn about the various data sets, available through Statistics Canada’s website as well as through the Research Data Centre network, that describe the nature and characteristics of crime and victimization in Canada. Understanding how to exploit the research potential of the data sets produced by the Canadian Centre for Justice and Community Safety can contribute in a significant manner in the development of crime prevention programs, and are instrumental in developing evidence-based policy. The presentation will discuss how to exploit police and courts administrative records as well as new surveys related to gender based violence.

national annual data on labour supply and productivity of pharmacists in Canada used to produce the graphs in the publication appearing in the Canadian Pharmacists Journal. Micro data used to estimate labour supply regression models were obtained from the Statistics Canada RDC.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

During the webinar, Valérie explained why vital statistics are important. Vital statistics are the basis of some of the most meaningful health and demographic indicators including : population estimates, life expectancy, infant mortality, leading causes of death, fertility and mortality rates, cancer survival estimates.

Julie Marcoux shows you how to have fun explaining Statistics Canada’s continuum of access through the use of a concrete example.

A discussion of the continuum of microdata access at Statistics Canada, its evolution, and the different access programs.

This presentation explores the hurdles the Scholars Portal Metadata Project is facing and the current situation. The hurdles are access, use and standards. Looking forward the project will now focus on recognizing needs and building on the Scholars Portal model. The presentation also makes a case for adopting metadata standards and establishing a centralized data extraction/analysis system.