These guidelines establish best practices for managing institutional data, distinguishing between data that should be stored on on-premises shared storage and data that can be stored in cloud-based ...

Prioritizing Cloud Solutions: These guidelines mandate that government agencies integrate cloud solutions for new IT projects. Deployment models (e.g. public, private, hybrid, or community) should be ...

The Storage Networking Industry Association expects to release by the middle of 2005 a standard for classifying data in order to store it according to its business importance. In October, the SNIA ...

In an era where sensitive data is a prime target for cyberattacks and compliance violations, effective data classification is the critical first step in safeguarding information. Recognizing the ...

Data classification is one of those squirrely industry topics that defy definition. This should not be, but it seems to mean different things to different people. In some cases, data classification is ...

The University at Buffalo, (UB, university) classifies data into three risk-based categories to regulate access to, use of, and necessary precautions required to the protect university data. This ...

An initiative by several leading Canadian banks to develop standards for data classification has shined an unwanted spotlight on U.S. banks, which appear to be unwilling to follow suit. A working ...

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 ...

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 ...

When it comes to managing data, we need to know where it is – but we also need to know what it is. With the rise in regulatory controls, enterprises now pay more attention to data sovereignty, ...