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Data-Sharing in Canadian Medical Education Research
Consensus Recommendations and Principles for Governance

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Our Goal

Our goal is to foster consensus on how inter-institutional data-driven research might be conducted in accordance with the Tri-Council Research Data Management Policy, grassroots concerns, and prevailing needs in medical education.


Through this work we aim to distill the risks, benefits, concerns, and values of the pan-Canadian medical education community, and to develop agreement on principles and recommendations that are respectful of the ethical and scientific obligations of data-driven research in medical education. 

How the Consensus Statement was Developed

In Spring 2021, we held  5 online workshops with renowned speakers and facilitators. This "Connection Series" aimed to inform the development of: (i) a consensus statement for the ethical utilization of administrative education data in Canadian medical education, (ii) a framework for harmonization of data quality standards to support data-driven research in Canadian medical education, and (iii) an evaluation approach that will permit appraisal of the research’s intended and unintended consequences. The Connection Series brought together individuals from the fields of Higher Education, Library and Data Sciences, and Epidemiology/Health Services who have made considerable advances in addressing data quality and data standards, to share their insights and experiences for consideration by those in the Medical Education field.

The objectives of the Connection Series were to:

  1. Facilitate the flow of knowledge pertaining to Data Ethics and Policy among researchers and stakeholders within the Medical and Health Professional Education community.

  2. Support knowledge mobilization around data governance, quality, and management for research between individuals from the fields of Library Science, Epidemiology, and General Education that have developed solutions to similar challenges, and the Medical and Health Professions Education community.

Connection Series Speakers

_Lisa Schwartz-2_jpg.jpg

Lisa Schwartz, PhD

Arnold L. Johnson Chair in Health Care Ethics
Professor, Health Research Methods, Evidence & Impact, McMaster University

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This work was supported by the Social Sciences and Humanities Research Council (SSHRC) Connection Grant, an Education Investigator Award from the Department of Family & Community Medicine at the University of Toronto, and in-kind support from the Department of Family Medicine at McMaster University.

The Online Modules in the Resources tab were developed with funding support from Compute Ontario.

Our researcher-led Community of Practice is supported by funding from the Digital Research Alliance of Canada. 

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Get in Touch!

If you have questions about the Consensus Statement or would like to request a free consultation from the Data Champions, don’t hesitate to reach out!

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