Data Security Classifications

Tags Data

When to Use?

This article describes data security classifications and university risk impact. It is a living document driven by the data strategy implementation across the University.

Information

 

Data Classification Types Definition Impact
Restricted

Unauthorized disclosure, alteration, or destruction could cause a HIGH level of risk to Grand Valley or its affiliates.  Serious adverse effects on a university's reputation, resources, services, or individuals.

Data protected by state or federal privacy regulations. 

Data protected by confidentiality agreements. 

HIGH 
Private

Unauthorized disclosure, alteration, or destruction of that data could result in a moderate level of risk to the University or its affiliates. Moderate adverse effects on the university's reputation, resources, services, or individuals.

By default, all Institutional Data that is not explicitly classified as Restricted or Public data should be treated as Private data.  

MODERATE
Public

Unauthorized disclosure, alteration, or destruction could cause a low level or no risk to Grand Valley or its affiliates.

A level of control is required

 

LOW

 

Was this helpful?
0 reviews

Details

Article ID: 2896
Created
Tue 2/1/22 2:44 PM
Modified
Tue 1/17/23 9:36 AM