About the Sunnybrook Research Institute (SRI) Dataverse

The Sunnybrook Research Institute (SRI) Dataverse is a secure, long-term repository for preserving and sharing research datasets created at or in collaboration with Sunnybrook. This repository supports institutional efforts to foster transparent, reproducible, and high-impact research.

The SRI Dataverse aligns with the Tri-Agency Research Data Management (RDM) Policy and is guided by the FAIR Data Principles — ensuring that research data is Findable, Accessible, Interoperable, and Reusable.

This repository is part of Borealis, the Canadian Dataverse Repository, and conforms with its national-level Terms of Use and technical infrastructure. SRI researchers can use this platform to deposit, describe, and publish datasets with appropriate metadata, licensing, and data access controls.

What types of data can be deposited?

Researchers are invited to deposit:

  • Finalized datasets supporting published research
  • In-progress datasets, where appropriate, and in line with ethics and privacy obligations
  • Cross-disciplinary datasets from any area of research conducted under Sunnybrook’s oversight
All submissions must comply with institutional privacy, ethics, and research integrity guidelines.

Before Depositing Your Data

To prepare your dataset for deposit, we recommend:

  1. Reviewing the Sunnybrook RDM Strategy (PDF) for institutional guidance
  2. Creating a Data Management Plan using the DMP Assistant
  3. Contacting our support team to get set up with the correct permissions for your role

How to deposit your data

To start the deposit process:

  1. Log in using your username and password (if you don't have account create one using the Sign Up hyperlink).
  2. Request dataset creator access by emailing research.operations@sunnybrook.ca.
  3. Upload your data, enter the required metadata, select a license, and choose any applicable embargo or access restrictions.
  4. Submit your dataset for review (if applicable).
  5. Publish your dataset and receive a DOI (Digital Object Identifier).

Support

If you have any questions about preparing, organizing, or licensing your dataset, please contact:
📧 research.operations@sunnybrook.ca

Additional resources and internal guidance will be made available as the SRI Dataverse service expands. We welcome your feedback as we continue to develop our data-sharing support infrastructure.

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1 to 2 of 2 Results
Jan 14, 2026
Wasilewski, Marina, 2026, "Navigating Health and Social Care for Long COVID in Canada: Perspectives from People with Long COVID and Providers", https://doi.org/10.5683/SP3/DA7NOE, Borealis, V1
This is the Dataset for the Navigating Health and Social Care for Long COVID in Canada: Perspectives from People with Long COVID and Providers study. This depository will allow for the open access of the study materials to support data sharing and enhance the reproducibility of the results.
Feb 13, 2025
Wasilewski, Marina B., 2025, "Coping with Stressful Life Disruptions due to Long COVID: A Qualitative Study", https://doi.org/10.5683/SP3/MBALNF, Borealis, V1
Study Materials for the project "Coping with Stressful Life Disruptions due to Long COVID: A Qualitative Study" funded by Canadian institutes of health research. The aim of this project was to explore the stressful disruptions experienced by PWLC and caregivers, their impact, and how PWLC and caregivers respond to and cope with them. A qualitative...
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