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Research Data Management

Data Anonymization

What is data anonymization?

Anonymization involves permanently removing personal identifiers so that data cannot be attributed to an identifiable individual.

Pseudonymization or deidentification involves replacing personal identifiers with alternate identifiers so that data cannot readily be attributed to an identifiable individual, but where the ability to re-identify the data is maintained.

Data Anonymization Software

Informed Consent for Data Sharing

Informed Consent for Data Sharing

Ensure data sharing and future reuse is included in participant consent and information letters and in ethics applications. Please contact the UWinnipeg Ethics Program Officer for more information.

Sample Language to Deposit and Share Data

Including RDM Language in Grant Proposals

Granting agencies are increasingly investing in projects that have demonstrated data management planning in their proposals. The following is a generic example but the more specific details you can provide the better.

Sample Language:

"Our team is committed to best practices in Research Data Management and strictly adheres to the ethics and research policies of the University of Winnipeg as to the management of our research data. With respect to storing data collected, we will use secure data storage options and security measures that are most appropriate for the sensitivity level of the data. After the project is concluded, the research outputs from this project will be shared via a general research data repository such as Scholars Portal Dataverse, or a domain-specific repository such as ________, which will further broaden the reach of the research outputs of this project."

Informed Consent Language

Participant consent and information materials should include future use of data. Participant consent is required in order for data to be shared and used beyond the scope of the immediate project. The following are examples of language for participants to consent to the reuse of their quantitative or qualitative data:

Quantitative: "By participating in this research, I hereby consent to my de-identified information be used for research purposes beyond this immediate project"

Qualitative: “De-identified transcripts and/or summaries of interviews will be deposited in the University’s Research Data Repository, to gain access, researches will have to get approval by the principle investigator and/or organization and transcripts will be redacted or summarized so researchers will gain a general idea of what was said but may not have access to the exact words”


Recommended Informed Consent Language for Data Sharing (ICPSR): This guide includes: language to avoid, model language, known concerns and recommended alternatives and conventional language used in the past.

Anonymization Webinars and Training




Databases Terms of Use