Examples of Tier 1—Confidential data include official student grades and financial aid data, social security and credit card numbers, research data, and individuals’ health information.

To be compliant, to ensure data is optimally protected, that it is available, that it can be analysed and that it is stored most cost-effectively – these are reasons why data classification is ...

DSL 5: Information which could be life threatening or which must be safeguarded in accordance with federal requirements Data Classification Examples Harvard maintains this page for Data Classification ...

Remember, however, that it's critical to have a data classification strategy that meets the business needs of your enterprise, that people understand and can work with easily, and that is properly ...

Identification, classification and handling of Purdue data, classified as public, sensitive or restricted, is essential to ensure the appropriate protection is applied.

The Data Risk Classification Policy, approved and signed by President Tripathi, is available in the University Policy Library.  ...

Machine learning has revolutionised the field of classification in numerous domains, providing robust tools for categorising data into discrete classes. However, many practical applications, such ...

HR departments handle sensitive, context-based people data, so they need a more nuanced classification approach than traditional models.

The improved Data Classification module contains Worksheet, Wizard Pages, and more, serving as a consolidation of the aforementioned features, making it easier and more efficient to classify data.

The university has updated the Data Risk Classification Policy. The revised policy is available in the University Policy Library.