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Data Classification and Handling Policy Purpose The purpose of this policy is to establish a framework for classifying and handling University data based on its level of sensitivity, value and criticality
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What is data classification and handling?
Data classification and handling is the process of organizing and categorizing data according to its sensitivity, importance, and access levels, and defining how it should be managed, stored, protected, and shared throughout its lifecycle.
Who is required to file data classification and handling?
All organizations that handle and process sensitive data, such as personally identifiable information (PII) or financial information, are required to implement and file data classification and handling procedures.
How to fill out data classification and handling?
To fill out data classification and handling, organizations need to assess the sensitivity of data they handle, classify it into appropriate levels (e.g., public, confidential, secret), define access controls and security measures, and document their procedures in a formal data classification and handling policy.
What is the purpose of data classification and handling?
The purpose of data classification and handling is to ensure that data is protected, maintained, and shared appropriately based on its sensitivity and importance. It helps organizations mitigate risks, comply with regulations, and safeguard data from unauthorized access, loss, or misuse.
What information must be reported on data classification and handling?
The specific information to be reported on data classification and handling may vary depending on the organization and applicable regulations. Generally, it includes details of data categories, classification levels, access controls, security measures, data handling procedures, and incident response plans.
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