According to university policy, data will typically be classified as sensitive if any of the following are true:
- Unauthorized disclosure may have serious adverse effects on the university’s reputation, resources, or services or on individuals
- It is protected under federal or state regulations.
- There are proprietary, ethical, or privacy considerations.
Due to the nature of the definition of sensitive data, it is impossible to have an exhaustive list of sensitive data examples. While the most common types of sensitive data are already included in this guide, there are many other examples of sensitive data, including:
- Public safety and security information
- Certain types of information about hazardous substances
- Certain types of blueprints and building plans
- Proprietary information such as computer source code developed at the university
- Certain types of information related to university investments and investment planning
- Certain types of information related to university insurance claims
- Information about misconduct proceedings
- Animal research