Office of the Saskatchewan Information and Privacy Commissioner. Guide to FOIP, Chapter 6, Protection of Privacy. Updated 27 February 2023. 22 The goal is to reduce the risk of re-identification of information once it has been deidentified. The following table shows decreasing probability of re-identification of information:57 State Description 1. Identifiable data The data have directly identifying variables or sufficient quasi-identifiers that can be used to identify the individual. 2. Potentially de-identified data Manipulations have been performed on the identifying variables but attempts to disguise the quasi-identifiers may be insufficient. The data may not be fully deidentified, partially exposed, and may represent a re-identification risk. 3. De-identified data An objective assessment of re-identification risk has been done and it is concluded that all directly identifying variables have been adequately manipulated and quasiidentifiers adequately disguised to ensure an acceptable level of re-identification risk. 4. Aggregate data These are summary data such as tables or counts, where there are no identifying variables or quasi-identifiers. For more on how to de-identify personal information, see the following resources: Dispelling the Myths Surrounding De-identification: Anonymization Remains a Strong Tool for Protecting Privacy (June 2011, ON IPC) De-identification Protocols: Essential for Protecting Privacy (June 25, 2014, ON IPC) 57 Canadian Institute for Health Information (CIHI) resource, Best Practice Guidelines for Managing the Disclosure of De-Identified Health Information at pp. 12, 13 and 17.