Overview
Secure Research Environment on AWS
Secure Research Environment on AWS
Trusted Research Environment on AWS
Across research, healthcare, and public services, organizations are generating vast amounts of sensitive data that are essential for advancing innovation and improving outcomes. Making effective use of this data requires an environment that ensures security, governance, and privacy while supporting collaboration and large-scale data analysis.
SoftwareOne Trusted Research Environments (TREs) provide secure access to sensitive data, enabling research while controlling data movement to meet governance requirements. It brings together scalable cloud infrastructure, built-in security controls, and self-service tools that enable research teams to work efficiently within clearly defined governance frameworks.
The offering is built in two clear layers:
Secure Research Environment (SRE) The foundational AWS environment for sensitive research workloads. It includes multi-account architecture, identity, security and compliance guardrails, network and connectivity controls, operations, monitoring, and continuous compliance.
Trusted Research Environment (TRE) The governed research layer built on top of the SRE foundation. It provides the secure core for managing and analyzing sensitive data through:
- Data Platform Governed data storage, lifecycle management, and ETL capabilities to prepare datasets for analysis.
- Data Review and Transfer Component (DRTC) Controlled data movement into and out of the TRE, ensuring each exchange is authorized and auditable.
- Virtual Research Environment (VRE) AWS Research and Engineering Studio (RES) which provides self-service research workspaces where approved users can access right-sized AWS compute, authorized tools, and project-specific data within defined controls.
By creating a trusted space for secure data access and analysis, TRE on AWS helps organizations accelerate research, strengthen compliance, and maintain confidence in how sensitive information is used.
Highlights
- Secure data management through encryption, identity controls, and defined access policies.
- Preconfigured research environments with approved tools for analysis and collaboration.
- Centralized governance, auditing, and scalable performance to maintain oversight while adapting to research demand.
Details
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