Overview
Higher-Ed Colleges, Academic Medical Centres and Research Institutions are looking for comprehensive solutions to speed up Research at Scale leveraging Cloud. While researchers want to focus on “Science” and not complexity of cloud services the Research IT groups need to provide composable solutions based on specific needs across following key areas:
- Researcher Tools (Our orchestration software along with a service catalog of open source & proprietary tools)
- Data Products covering ingestion, cleansing, processing, analytics, storage & backup, catalog etc.
- Security and Compliance solutions commonly covering IAM, Logging, Access Control, etc.
- Infrastructure, Network, Storage needs including HPC, specialized GPU etc.
The Research 360 Solution provides a comprehensive, secure, and scalable environment for research institutions to rapidly set up and manage Trusted Research Environments (TREs) on AWS. Built using Relevance Lab’s Research Gateway and integrated with the AWS Landing Zone Accelerator, this solution enables end-to-end lifecycle management of cloud-based research environments with preconfigured compliance and security controls.
- Automated TRE Deployment: Simplify the setup of secure, collaborative workspaces tailored for sensitive data research across genomics, healthcare, public sector, and academic use cases.
- Compliance-Ready Landing Zones: Leverages AWS Landing Zone Accelerator with predefined compliance packs including HIPAA, NIST 800-171, and other regulatory frameworks to ensure data protection and governance.
- Self-Service Research Portal: Empower researchers with an intuitive, role-based portal for provisioning compute, storage, and analytics tools without needing cloud expertise.
- Secure Data Access & Collaboration: Fine-grained access controls, audit logging, and VPC isolation support secure sharing and analysis of regulated datasets.
- Lifecycle Automation: Automate environment provisioning, cost controls, and decommissioning to streamline operations and ensure budget alignment.
- Integration with AWS Native Services: Supports services like Amazon S3, EC2, SageMaker, and AWS Batch for flexible and scalable research workloads.
Target Audience: Universities, Academic Medical Centres, Healthcare Institutions, Government Research Bodies, and Biotech Organizations seeking secure, compliant, and scalable research infrastructure on AWS.
Highlights
- Reduce time-to-research by 50% with prebuilt environments & Ensure compliance with industry and government standards
- Self-service model for access to HPC resources, Large datasets and researcher tools(RStudio, SageMaker, Nextflow/Cromwell orchestration and studies)
- Minimize operational overhead with automation and self-service & Scale securely with proven AWS architectural best practices
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