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Data classification is one of the building blocks for information security at Queen’s University. Data owners and custodians need to classify data within their domain of responsibility to ensure the level of information protection and privacy is commensurate with the sensitivity and value of that data. The purpose of this document is to establish a data classification framework to guide members of the Queen’s community in using and managing data in the scope of information technology-related activities. Compliance with University policy and federal and provincial legislation, such as FIPPA and PHIPA, is an additional goal for a University data classification scheme.
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Sensitivity Labels |
Definition |
Examples |
Confidential |
Confidential information requires high level of protection with varying degrees of access control. |
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Personal |
Personal information is a specific type of confidential information and should only be shared and used on a need-to-know basis. It requires high levesl of protection with varying degrees of access control.
Note: Some information will be classified only as confidential. If, however, information is classified as personal, i t is also considered confidential under this data classification scheme. |
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Operationally Sensitive
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Information that is used in the day-to-day operations of the University or a department will have a defined level of “sensitivity”, ranging from sensitive to very sensitive. The level of sensitivity depends on the degree to which Queen’s could be affected, as determined by its “value” and “criticality”. The security level required will be commensurate with level of risk and is intended for internal use only. |
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Public |
Information that Queen’s has published for general or public consumption, or publicly known information that Queen’s has received from other organizations.
Basic security is needed to ensure the integrity of University information.
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