Research Data Management

Provides definitions for common terms used in the discussion of the management of sensitive data in the Canadian context.

Intended to help researchers determine risk level for human participant research data, and make decisions with respect to its management, deposit, and appropriate access/future use.

Intended to assist researchers working with sensitive data in the development of tailored, deposit-friendly language for ethics approval and informed consent.

A guide to help Canadian researchers minimize disclosure risk when sharing data collected from human participants. It includes information about what data are or may be identifiable, as well as methods and techniques for de-identification and anonymization.

This decision tree is designed to help alert you to situations where research data collected in Canada and derived from human participants either may not be shared publicly or may require some modification before sharing.

Data anonymization tool that satisfies GDPR guidelines.

Guidance from the Global Biodiversity Information Facility

This free e-book offers best practices and case studies for managing sensitive administrative data.

A webinar from November 2022 presented by the chairs of UCalgary's research ethics boards on the relationship between RDM and research ethics.

A series of workshops on anonymizing sensitive data presented by McGill University's Digital Research Services team in Fall 2023.