The purpose of this standard is to provide the University community with a framework for securing information from risks including, but not limited to, unauthorized use, access, disclosure, ...

Data classification is the process of organizing data into categories that make it easy to retrieve, sort and store for future use. A well-planned data classification system makes essential data easy ...

Organizations churn out vast amounts of data every day. Those without defined data classification processes risk not knowing where their data resides or if it's properly protected. Let's examine how ...

CIOs and IT directors working on any project that involves data in any way are always more likely to succeed when the organisation has a clear view of the data it holds. Increasingly, organisations ...

Data Classification refers to the process in which you organize structured and unstructured data. You have to organize them into exclusive categories that will be based on different types and content.

To ensure a common understanding, Harvard uses a 5-step scale for data sensitivity. The higher the number, the more sensitive the data is, and the stronger protections you need to take when accessing ...

As organizations evolve, traditional data classification—typically designed for regulatory, finance or customer data—is being stretched to accommodate employee data. While classification processes and ...

The purpose of this standard is to assist Users, Stewards, Managers, and Information Service Providers in identifying what level of security is required to protect data for which they are responsible.

All members of the Lycoming College community have a responsibility to protect Institutional Data from unauthorized access, modification, or disclosure and are expected to understand and comply with ...