Helping the University Store Sensitive Research Data

The Secure Data Enclave provides a secure computing environment for University of Chicago researchers.

What is the Secure Data Enclave?


The Secure Data Enclave (SDE) is a secure, centralized service for faculty and researchers that work with sensitive research data.  The SDE meets the high water mark of security policy to ensure that restricted information is protected per local, federal, and international laws.  



Secure Storage and Management of Sensitive Research Data

Provides secure management and storage of sensitive research data.

Computing Resources to Analyze Research Data

Equips researchers with resources to perform analysis of sensitive research data.

Access to MidwayR Research Computing Capabilities

Offers access to high-end computing at the University.       


Provides Security and Privacy Protection

The environment protects the integrity of sensitive data by complying with best-in-class storage standards. It meets the same security requirements as The University of Chicago Medicine, which already adheres to rigorous data security standards.

Managed by University IT Professionals

The Secure Data Enclave is professionally managed and operated by ITS and RCC staff. This allows you to focus on research and analysis and avoid the expensive and time-consuming process of building and operating a secure environment.

Allows for Custom Analytical Software

The service is flexible so you can add the analytics software you prefer for your research.

Offers Collaboration with RCC

RCC’s computational scientists are available to provide their expertise and help you unlock new ways to analyze the data.

Removes Data Compliance Obligations from the Researcher

The Secure Data Enclave transfers the security obligations of data management and storage from the researcher to the University while complying with legal and contractual standards.

Reduces Data Security Risks

The service reduces data security risks for researchers and the University.

Working with sensitive research data?