Data Resources
A common data model facilitates standardization of respiratory data, to allow comparison of results between studies or for researchers to combine data from multiple studies.
Below you can find resources to implement core variables in your study:
Many scientific journals now require that data be openly shared and the Canadian Institutes of Health Research (CIHR) and funder of these Lung Health Team Grants "believes that research data collected through the use of public funds should be responsibly and securely managed and be, where ethical, legal and commercial obligations allow, available for reuse by others." https://science.gc.ca/site/science/en/interagency-research-funding/policies-and-guidelines/research-data-management/tri-agency-research-data-management-policy
To align practice with these policies it is essential that prospective studies include explicit language in consent forms to seek permission for coded data/samples to be shared with others for secondary data analyses.
Canadian researchers are eager to understand why some people develop lung disease and others don't. The Canadian Respiratory Research Network Lung Health Registry is designed to match registry participants from the general public, who are interested in their lung health, to ongoing lung health research studies in Canada.
In progress
CANUE provides researchers with access to standardized, analysis-ready environmental exposure data covering all of Canada. This includes concentrations of key air pollutants (e.g., PM₂.₅, NO₂, ozone), land use, green space, noise, and climate variables, all indexed to six-character postal codes. Canadian Urban Environmental Health Research Consortium (CANUE) data are pre-linked to major Canadian cohort studies and administrative health databases that include measures and outcomes relevant to lung health. Researchers can also request customized datasets to link with their own study populations. These resources support high-quality, reproducible research on the environmental determinants of respiratory health.
At CANTRAIN (The CANadian Consortium of Clinical Trial TRAINing Platform), we believe the future of clinical trials in Canada depends on how we train, connect and prepare people to engage in clinical trials research—across disciplines, across sectors, and across communities.
Born from a national wake-up call during the COVID-19 pandemic, CANTRAIN is Canada’s most expansive and innovative response to the urgent need for a stronger, more coordinated clinical trials system.
CANTRAIN Clinical Trials Training Program - Clinical Research Professionals
The Canadian Network for Statistical Training in Trials (CANSTAT) is a pan-Canadian, multi-institutional and multidisciplinary training platform that will provide participants with the technical skills and practical experience needed to become leaders in their field and to ensure that clinical trials generate the highest-quality evidence to improve the health of Canadians.
The goals of the program are to equip fellows with:
- Knowledge about clinical trials
- Required technical and interpersonal skills
- Opportunities to implement skills into practice
The CANSTAT program will bring fellows together with clinical and statistical experts in clinical trials and allow fellows to learn through a comprehensive experiential learning program. Formal education will also be provided through workshops led by clinical trial experts from around the world, and though in-person capacity-building meetings.
Upon completion of the program, fellows will be prepared to work as professionals in biostatistics as effective collaborators, communicators, scholars and leaders who will contribute significantly to academic and industry clinical trials in Canada.