computer data center

Compute & Storage Environments for Regulated Research

In today’s research landscape, securing sensitive data is no longer optional—it’s foundational. From human subject data and genomic sequences to proprietary algorithms and AI model outputs, research increasingly involves assets that fall under complex federal, contractual, or ethical protections. Institutions must provide environments that empower discovery while ensuring full compliance with evolving regulations such as NIST SP 800-171, HIPAA, GDPR, and NIH data-sharing policies.

To meet these demands, we offer a suite of managed compute and storage solutions purpose-built for regulated research. These environments support principal investigators, data scientists, and research teams handling sensitive or controlled-access data, including Protected Health Information (PHI), Personally Identifiable Information (PII), and controlled-access genomic datasets.

  • YNHHS SAFE

    High-performance computing cluster specifically designed to enhance healthcare practice and research through extensive clinical data analysis.

  • YNHHS Virtual Desktop Infrastructure

    Ideal for working with small-to-medium sized data sets, accessing Epic charts and Slicer-Dicer, and accessing the YNHHS-YU Computational Health Platform web client

  • SpinupPlus

    A self-service computing environment that utilizes the AWS cloud, allowing users to swiftly create customized computational resources (i.e., Virtual Machines) within minutes

  • Hopper

    High performance computation of electronic Protected Health Information (ePHI), NIH Controlled-Access Data and Controlled Unclassified Information (CUI).

  • Storage @ Yale

    Select Yale cloud and on-prem storage options to see details or compare offerings.

SAFE (Secure AI Flexible Environment)

High-performance computing cluster specifically designed to enhance healthcare practice and research through extensive clinical data analysis.

Get Started link

More information

ynhhs