Data classification

Sensitive data

Generally, data at universities is classified as: public, internal, confidential or secret.

Examples:

Data classification

Description
 

Indicative examples for personal data 

Classification public
 

Public information on public websites and in public publications.

name, publications
 

Classification internal

Not intended for the public but at the same time not harmful, should it fall into the wrong hands.

Personal data (e.g. information about a person's economic position (credit/debit)), memo’s, instructions and guidelines.

Classification confidential
 

Information which could harm people, organisations or governments. 

Special Categories of personal data (e.g. Security Vulnerability rapports, Security Incident Rapports, information about a person's psychological, medical or criminal status). 

Classification secret
 

Information that will immediately have severe consequence for people, organisations or governments.

Research on a highly sensitive topic, Highly Sensitive Note, Memo or Report for the Board (CvB).  

If you work with sensitive data, contact the Erasmus Data Service Centre for a quick data assessment (internal / confidential / secret) to ensure all necessary measures are taken.

For sharing data safely and securely, see our information about the data storage & sharing and encryption.