New York Tech Data Storage Matrix

Why a Data Storage Matrix Matters at a University

A data storage matrix is a critical tool that ensures institutional data is stored securely and appropriately based on sensitivity, compliance requirements, and access needs. It guides students, faculty, and staff on where to store different types of data, supporting:

• Data integrity and privacy
• Regulatory compliance
• Operational efficiency
• Reduced risk of data breaches or loss

By aligning storage practices with data classification standards, the matrix helps safeguard university information and promotes responsible data management.

Before using an ITS tool to handle institutional data, review the Data Security and Access Management Policy.

Data Type Definitions

Please refer to Data Classification Matrix for more details

• Confidential – when the unauthorized disclosure alteration or destruction of the data could cause a significant level of risk to New York Tech or its affiliates.
• Restricted – when the unauthorized disclosure alteration or destruction of the data could cause a moderate level of risk to New York Tech or its affiliates.
• Public – when the unauthorized disclosure alteration or destruction of the data could cause little-to-no risk to New York Tech or its affiliates.

Compliance and Responsibility

All New York Tech community members are responsible for ensuring data is stored and shared appropriately according to its classification. Using unapproved storage platforms (e.g., personal cloud drives) for Confidential or Restricted data is strictly prohibited.