Revise and replace prior version of the Data Classification Policy. The previous versions of the Data Classification Policy categorized data into three categories: confidential, internal, and public.

Data Classification Policy. This document defines the Cal Lutheran data classification scheme and establishes rules and procedures for protecting sensitive and protected university data processed, ...

This document defines the William & Mary system and data classification scheme and establishes procedures for protecting critical IT systems and sensitive and protected university data processed, ...

This policy covers data that is stored, accessed, or transmitted in any and all formats, including electronic, magnetic, optical, paper, or other non-digital formats. With the exception of those ...

Classification System UAB IT worked closely with information security officials from UAB Health System to develop the three level data classification system for all data. This system establishes roles ...

Non-Public Data: According to the Data Classification Risk Policy, Category 1- Restricted Data and Category 2- Private Data are considered non-public data. Senior Management : Designated as the ...

Questions on the classification and handling of particular data should be directed to the appropriate Data Steward for the area. Public — Information that may or must be open to the general public. It ...

UB data must be protected to safeguard privacy, reduce the threat of identity theft, and maintain compliance with state and federal laws and regulations. The University at Buffalo (UB, university) is ...

Any data classification policy must primarily address two factors: confidentiality and length of retention. Thus, controls broadly fall into two categories – namely, ...

The draft was based on research on various legal and policy issues, study of relevant initiatives in several other cities, exploration of data handling in KCMO, and review of data sharing ...

Purpose of Data Classification. The purpose of this policy is to establish a framework for classifying institutional data based on its level of sensitivity, value and criticality to the college.