Data Analysis Using Existing Databases & Cohorts 2023: Data Partner Linkage Tool

The aim of this Data Partner Linkage Tool is to facilitate new collaborations between organizations/individuals interested in providing access to cohort data, data platforms, administrative datasets, and other types of data for the purposes of research project proposals to be submitted to the Data Analysis Using Existing Databases & Cohorts funding opportunity.

Data partners are invited to share information about their datasets and details of any process/selection criteria associated with accessing the data. If you would like to use this tool, please complete the linkage tool form.

The funding opportunity includes a focus on Indigenous research in human development, child and youth health. Any research proposals involving Indigenous Peoples must include at least one principal applicant who self-identifies as Indigenous (First Nations, Inuit or Métis) or provides evidence of having meaningful and culturally safe involvement with Indigenous Peoples. Data related to research by and with First Nations, Inuit, Métis or Urban Indigenous communities whose traditional and ancestral territories are in Canada must be managed in accordance with data management principles developed and approved by those communities, and on the basis of free, prior and informed consent. This includes, but is not limited to, considerations of Indigenous data sovereignty such as following the First Nations Principles of OCAP® or other principles of Indigenous self-governance as appropriate, as well as data collection, ownership, protection, use, and sharing.

Complete the form

Note that completing the form is voluntary and not a requirement of the application process for the Data Analysis Using Existing Databases & Cohorts 2023. Also note that potential applicants are not required to contact those who have chosen to make their information available through the linkage tool.

By completing and submitting this form, you are consenting to having the responses entered in the form posted publicly, unedited, and in the language of submission. Inappropriate language/responses will be edited. The information provided will be shared publicly below and updated regularly. When the annual funding opportunity is open, responses received by Friday noon (EST) of each week will be added to the list the following Wednesday, until the funding opportunity application deadline.

Between competitions, Data Partner information will remain on the list until a request for removal is received and updates will be made on a monthly basis during that time.

You may request to have your information edited or removed at any time by emailing Requests for edits or removal of information will be actioned in the next update cycle. If you have requested that your name and information be removed and then choose to be reinstated on the list, it is your responsibility to complete the form again.

Many thanks for your interest in the Data Analysis Using Existing Databases & Cohorts initiative! Please check back weekly for updated information on potential data partners.

Interested Data Partners


The information is provided in the language in which it was submitted by the respondent.

The table below shows information about Data Partners who are interested in forging partnerships in relation to access to data for the Data Analysis Using Existing Databases & Cohorts funding opportunity.

Contact Details Description of Data Data Access Considerations
Canadian Urban Environmental Health Research Consortium (CANUE)
CANUE data portal
Dany Doiron, Managing Director
CANUE generates, collates, and documents health-relevant standardized urban environmental data for all postal codes in Canada and maintains a working data platform that disseminate these datasets. CANUE holds and distributes >40 individual datasets and more than 300 unique variables in four broad domains: neighbourhood factors, greenness, air quality, and weather and climate. These datasets are provided free of charge to Canadian researchers.  Because of an agreement with the private company that produces the postal codes to which CANUE datasets are indexed, only individuals with Canadian academic affiliations can access CANUE data and use of CANUE datasets is restricted to academic, research, or educational purposes. Individuals applying to access CANUE data need to confirm their academic credentials via a data sharing and use agreement. This agreement also ensures that proper citations and acknowledgements are included in any published work that makes use of CANUE data and provides a means for CANUE to track the usage of datasets. Data requests are made via the CANUE data portal.
CRDCN – Canadian Research Data Centre Network
Grant Gibson, Assistant Director Research & Evaluation
The CRDCN is a platform providing access to Statistics Canada survey data and administrative data. We have over 80 datasets in the subject of Health. The data have national coverage, but surveys are restricted to off-reserve, non institutional populations (and generally limited to the 10 provinces). Administrative records that might be most relevant to researchers interested in this funding opportunity are: Canadian Cancer Registry, National Ambulatory Care Reporting System, Discharge Abstracts Database, Vital Statistics (Births, Stillbirths & Deaths). Other special-interest health datasets include the Canadian Census Health & Environment Cohort, National Population Health Survey (with some administrative linkages), and Survey of Mental Health & Stressful Events. Browse our available databases The application process can be found at Accessing RDC Data. An application requires a research proposal, the template for which is available at the above link. Researchers should be aware that a background check is required, and the expected time from proposal *submission* to approval being provided is generally 6 weeks. This can fluctuate when proposal volumes are higher and a good proposal can take some time to properly draft. Research proposals are expected to be the result of researcher-driven inquiry rather than work conducted on behalf of private companies or government agencies. Researchers who are not themselves tenured faculty, or under the supervision of tenured faculty should also be aware that a peer review from a tenured faculty member in their field of research is required (generally adjunct faculty or assistant professors). Access must be in person at one of the secure facilities.
CHILD Cohort Study
Dr. Michelle Helm
The CHILD Cohort Study is a multi-center longitudinal, prospective, general population cohort study following infants until adulthood. Women with singleton pregnancies were recruited from Vancouver, Edmonton, Manitoba, and Toronto in 2008 (n=3454). The study specific aims are to identify the environmental, genetic causes and underlying mechanisms of asthma and allergies as primary outcomes, as well as the examination of several secondary health outcomes, including growth, body composition and obesity, cardiovascular and respiratory health, infections and immunity, neurodevelopment, and mental health. Infants were studied at birth, at a home visit at 3-4 months, and at clinic visits at ages 1, 3, 5 and 8 years and currently assessing age 12/13. Study retention since birth had a retention rate of 93% (n=3,224). Attendance to study visits was 87.4% at 1-year, 85% at 3-years, 81% at 5 years and 86.4% at 8 years. The 13-year visit was launched in Summer 2022 (n=2970). To access CHILD Cohort Study data and /or biological samples for a collaborative project, an investigator must submit a Concept Proposal on our webpage. Each proposal will undergo a preliminary review, which can take up to 4 weeks. We do require a signed Data and Sample Transfer Agreement, proof of ethics approval and payment of a data access fee. Any submissions for letters of support for grant proposals must be submitted at least 2 weeks in advance of the grant deadline.
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