Approved microdata linkages: 2026 submissions

Purpose: The purpose of this project is to link BRM and BEAM microdata with external M&A and patent datasets to study how Canadian firms acquire, retain, and deploy knowledge capital in the context of mergers and acquisitions. Combining administrative employment and financial information with detailed acquisition and patenting data will allow researchers to quantify how firms’ decisions to “buy or rent” knowledge capital shape innovation, worker retention, and long-run growth. The resulting integrated dataset will support rigorous empirical research on the dynamics of human capital mobility, knowledge diffusion, and corporate restructuring. This project will contribute new evidence on the determinants of firm-level innovation and productivity in Canada.

Output: Only non-confidential aggregate statistical outputs and analyses that conform to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada. The release of the vetted outputs will be done by Statistics Canada staff. The information will be presented in the form of tables of regression results and summary statistics related to the project’s goal. The cost associated with the record linkage is funded by a SSHRC Insight Development Grant. The anonymized analytical file will be made available through Statistics Canada Secure Access Points (such as research data centres), and access will be granted to Statistics Canada deemed employees following the standard approval process. The clients will also have to become Statistics Canada deemed employee to access the data through an approved secure access point.

Purpose: The aim of this project is, through the linkage of the Census of Population to Newfoundland and Labrador Health’s Cancer Screening data, to generate actionable insights on factors affecting screening uptake to inform program improvements, enhancing access, experiences, and outcomes in Newfoundland and Labrador. Moreover, it aims to be a demonstration of how cross-jurisdictional collaboration, co-governance, and modern data science can product insights which can drive real service improvements in cancer screening—delivering actionable insights and setting a model for future evidence-informed health interventions. 

Output: Access to the linked microdata files will be restricted to Statistics Canada employees whose work activities require access. As this project represents a cross-jurisdictional collaboration, all aspects of the project, including appropriate analysis methods and dissemination of findings, will be determined collaboratively, and may include publication in peer-review journals or integration in presentations at workshops and conferences. Only non-confidential aggregate statistical information and analyses that conform to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada.

Purpose: The purpose of this project is to combine Canadian Health Measures Survey’s physical measures and biomarker data with detailed records of administrative data to enable researchers to explore relationships between biological, behavioral, and environmental factors and health outcomes. This linkage will serve as a comprehensive resource for innovative health research, supporting analyses such as chronic disease investigation, predictive modeling, and population health studies, while maintain flexibility for future research directions.

Output: De-identified linked files will be placed in the Research Data Centres (RDCs), and access to these files will be granted following the application process and guidelines for the RDCs. Major findings will be used to create research papers for publication in peer-reviewed journals and presentations at workshops and conferences. Only aggregate data that conform to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada.

Purpose: The main objective of the study is to estimate the long-term effect of WoodGreen’s programming in the past decade on three target outcomes: income, education, and employment. This research will be conducted by Blueprint organization for Employment and Social Development Canada (ESDC). WoodGreen is a leading social services agency operating in the Toronto area. Linked data will be used (1) to bolster the demographic data quality and supporting analysis of results disaggregated by three demographic categories: youth, seniors, and newcomers to Canada and (2) to develop comparison groups to use in analysis to estimate the effects of WoodGreen programming.

Output: The final product will be comprised of a series of linked key files which will reside within Statistics Canada secured access points. Restrictive access will be granted to Blueprint researchers following the standard RDC approval process. Only non-confidential aggregate statistics that adhere to the confidentiality provisions of the Statistics Act and any applicable requirements of the Privacy Act will be released outside of the secured access points, following pre-defined confidentiality vetting rules.