Healthy Future Sask Archives - CanPath - Canadian Partnership for Tomorrow’s Health

CanPath – Canadian Partnership for Tomorrow’s Health Search

About Us
- Purpose, Vision & Mission
  CanPath is working in partnership to prevent disease and provide a platform for scientists to conduct innovative research.
- Our History
  The Canadian Partnership Against Cancer established the Canadian Partnership for Tomorrow Project (now CanPath) in June 2008.
- Leadership & Governance
  Meet the members of CanPath's Leadership Team, Operations Committee, National Strategic Advisory Council and more.
- National Coordinating Centre
  Meet the members of CanPath's operational core, based at the University of Toronto's Dalla Lana School of Public Health.
- Student Work and Opportunities
  Students are a cornerstone of our population health research program, driving innovation and discovery as the next generation of researchers and health professionals.
- Regional Cohorts
  Seven regional cohorts across ten provinces comprise CanPath's pan-Canadian partnership.
- Funders & Supporters
  Learn more about the partner organizations that provide funding and in-kind support to CanPath.
- Frequently Asked Questions
  Find out how CanPath will improve the health of Canadians and more.
- Contact Us
  How to reach CanPath by phone, email, in-person, or make a data access request.
Research
- About the Study
  CanPath is Canada’s largest population health cohort and a gateway platform to data worldwide.
- Access Process
  The CanPath Access Portal provides researchers with the necessary resources to identify epidemiological and biological data available from participating cohorts to answer innovative research questions.
- Approved Projects & Studies
  CanPath has supported more than 100 research projects and activities, many of which have resulted in publications in high impact journals.
- Biosamples
  CanPath offers one of Canada's most comprehensive collections of biological samples, enabling deeper investigations into the causes of cancer and chronic diseases.
- Collaborations
  The CanPath team is committed to collaborating with partners in order to enhance and accelerate research for a healthier Canada.
- COVID-19 Initiatives
  As Canada’s largest population health study, CanPath responded quickly to the pandemic by leveraging its existing infrastructure to support national COVID-19 research.
- Funding & Grant Opportunities
  Supporting researchers and innovators who are seeking funding opportunities for their projects utilizing CanPath data
- Policies
  CanPath requires approved users of its data to conduct research that follows and conforms to all data use policies. Approved users should read, understand, and follow the policies below.
- Publications
  These publications are examples of research made possible with data from CanPath and its regional cohorts.
- Synthetic Dataset
  The CanPath Synthetic Dataset is a versatile resource designed for research, education, and practical applications, offering robust support and guidance for educators to integrate it into their curriculum.
- Trusted Research Environment
  CanPath, in collaboration with Lifebit and AWS, has built a ‘trusted research environment,’ a secure, cloud-based platform where researchers can access and analyze data all in one place.
Participants
- About the Study
  CanPath is Canada’s largest population health cohort and a gateway platform to data worldwide.
- COVID-19 Antibody Study FAQ
  CanPath and its regional cohorts are conducting a COVID-19 antibody study of 20,000 participants across Canada.
- HEAL and CHARM studies
  Right now, thousands of Canadians are taking part in the largest dietary intake and physical activity data collection effort ever conducted in Canada.
- Meet CanPath Participants
  Hundreds of thousands of Canadians have come together to be part of a study that reveals real breakthroughs.
- Participant Snapshot
  Understand the unique social, economic and health characteristics of CanPath participants and how this information is captured for research.
News & Events
CanPath Access Portal

Newest to Oldest
Oldest to Newest

2025

Evaluating Decisions on Primary Sample Aliquot Volumes Based on Experience of Utilization: Recommendations for Today’s Biobanks

Authors: Treena E McDonald, Noah D Frank, Lindsay Hayman, Jason Hicks, Travis J Hrubeniuk, Catherine Labbé, Laurie Lange, Gillian MacNevin, Kelly McDonald, Jennifer Vena, Jing Zhang, Peter H Watson, CanPath Leadership & Directors

CanPath revisited its original decisions around how biological samples are divided and stored, comparing those early choices against what researchers have actually requested over time. Based on this reflection, they propose an updated aliquoting strategy for new collections that better balances upfront resource costs with the volumes needed for downstream analysis. The aim is to offer practical, evidence-informed guidance for teams building new biobanks or reconsidering storage approaches for existing ones.

Read Publication

2022

Harnessing the power of data linkage to enrich the cancer research ecosystem in Canada

Authors: Robin Urquhart, Philip Awadalla, Parveen Bhatti, Trevor Dummer, Simon Gravel, Jennifer Vena, Riaz Alvi, Philippe Broet, Cynthia Kendell, Victoria Kirsh, Guillaume Lettre, Kimberly Skead, Grace Shen-Tu, Ellen Sweeney, Donna Turner

This abstract discusses a project aimed at linking cancer registry and administrative health data to Canada’s largest population health study, the Canadian Partnership for Tomorrow’s Health (CanPath). The project seeks to enrich the cancer research ecosystem in Canada by providing researchers with a comprehensive dataset that includes genetics, environment, lifestyle, and behaviour data. The linked data will be made available through a cloud-based solution called the CanPath Data Safe Haven, which is accessible to researchers through secure access. The project will address concerns related to the accessibility of cancer data in Canada, bring more value to existing data, and support an enhanced understanding of the impacts of cancer on marginalized populations.

Read Publication