What is sensitive data?
If your data involves human participants, it may be sensitive data, even if no personal identifiers are collected. For instance, though the course of participating in an anonymous survey, participants may inadvertently share highly private details which enable their identities to be inferred
We recommend you consult with the Office of Human Ethics, Biosafety, and Integrity in regards to the sensitivity of your data.
Other forms of sensitive data can include:
- Confidential data, including commercial in confidence information and research
- Ecological data that may place vulnerable species at risk
- Data involving Indigenous people- La Trobe University’s Research Data Management Policy states you must “consult with research participants and communities regarding the methods of collecting, storing and accessing the data.”
Data that is not obviously sensitive (i.e., does not include names or dates of birth), or has been de-identified, may become sensitive again when context changes.
- Triangulation (combining several pieces of non-sensitive information e.g. age, family composition, occupation).
- Data linkage- bringing two or more datasets together that cover same person or subject of research.