A toolkit for biomedical researchers of best practices for privacy in digital studies.
What is a Privacy Toolkit?
Respectful & Trustworthy
A simple approach that helps researchers create digital research study's interfaces that are respectful and trustworthy.
Curated Interface Patterns
This curated collection of established interface patterns provide biomedical researchers with clear examples of when and where these patterns should be used in the app.
Participant Centered
Participants have a better understanding of how their data is contributing to research but also retain their ability to control their data.
Respectful & Trustworthy
A simple approach that helps researchers create digital research study's interfaces that are respectful and trustworthy.
Curated Interface Patterns
This curated collection of established interface patterns provide biomedical researchers with clear examples of when and where these patterns should be used in the app.
Participant Centered
Participants have a better understanding of how their data is contributing to research but also retain their ability to control their data.


Using the Privacy Toolkit for your Digital Study
Explore some of the respectful ways to approach privacy and data collection in all the participants’ touchpoints in your digital research study.
Getting Started
Here are some best practices on how to deal with cookie prompts and drafting your Privacy Policy. These patterns set the tone with the user from the start that privacy is important.
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Discovering and learning about the study
The user has heard about the study from either recruitment materials or a healthcare provider. The user is looking for additional information on the purpose of the study, participant eligibility criteria and the requirements of study participation.
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Using the research app
The user is now an enrolled study participant by completing the informed consent and the app’s onboarding process. They are now ready to complete the study’s activities and contribute data.
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Making sense of one's contribution and return of data/results
When a participant is making sense of how his/her data contributes to the research study. A participant now has the ability to see aggregated data in an understandable visual format so that they can better manage their condition.
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Leaving the study
The participant has completed their contribution to the study.
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