Launched in 2020, the Analytics Enclave, "Enclave", is a highly secure, privacy-aware, data ecosystem equipped with self-service AI, machine learning, and data science tools that facilitate on-demand data analysis at the project-, program-, or institution-level.
The controlled and protected environment offers authorized users a dedicated, centralized, scalable, and customizable workspace for collaboration on highly confidential or sensitive data with predictable timeframe for completing planned or exploratory analyses.
The Enclave supports cross-institutional collaboration (for example: MGB research community and external clinical industry partners) on MGB data or curated data marts. At present, the Enclave has several COVID-19 data marts and project-specific databases.
As of November 1, 2024, the Enclave hosts a total of 156 active research projects and 212 members of the scientific community.
The Enclave has a baseline offering of widely used data science tools
The Enclave is equipped with an array of software programs and applications. These computational resources and data sources are updated regularly.
The Enclave-hosted repositories include CRAN, Bioconductor, PyPI, and more.
Windows 10 Enclave Virtual Desktop
Documentation and Statistical Analysis Tools | Programming Tools | Development Platforms |
Database Tool |
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RStudio Anaconda SAS MATLAB STATA JMP Pro Microsoft Office Suite (Word/Excel/PowerPoint) Jupyter Notebook Notepad++ |
RStudio Package Manager (RSPM) - Beta Python R |
Docker GitLab JAVA Runtime Environment Java SE Development Kit JFrog Artifactory PyCharm Community Visual Studio Code |
MS SQL Server |
Linux Enclave Virtual Desktop With GPU (Tesla V-100 GPU available)
Documentation and Statistical Analysis Tools | Programming Tools | Development Platforms |
Database Tool |
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RStudio LibreOffice Suite FreeSurfer |
Python R |
Visual Studio Code | DBeaver |
Storage
Standard Resources Allocated Per User | ||
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Windows 10 VDI | Linux VDI | |
CPU (Intel Xeon Platinum @2.4GHz) | 4 vCPU | 4 CPU |
RAM | 16 GB | 16 GB |
vGPU | N/A | NVIDIA v100 vGPU |
Local Storage (NVMe) | 70 GB | 100 GB |
Standard Resources Allocated Per Project | |
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Network Attached Storage (Note: Additional storage capacity can be provisioned as needed; subject to justification and approval) |
100 - 500 GB |
Object Storage (S3) (Note: Provisioned upon request) |
1 TB |
Data Sources
Complete & submit the request form to access these repositories |
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Research Project-Specific Data in Enclave Workspace |
COVID-19 Data Mart |
Detailed Data Files of COVID-19 Data |
COVID-19 Vaccine Registry |
COVID-19 Vaccine Self-Reported Symptoms Database |
ECG Data Files (static data) |
Complete PDSR Curated Data Set |
Access to the Enclave involves a strict project-specific approval process for each applicant
Access to the Enclave is granted upon completion and submission of the Access Request Form.
On approval, the applicant's Enclave Workspace is provisioned per project. They can access their dedicated Enclave Virtual Desktop(s) by logging in with their Mass General Brigham username and password via the VMware Horizon Virtual Desktop Infrastructure (VDI).
1. Plan ahead |
Note: No cost to MGB-affiliated applicants |
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2. Complete & submit the online form |
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3. Application review |
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4. Enclave Workspace provisioning & notification of access approval |
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5. Access the Enclave Virtual Desktop Computer |
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Leverage technical support to enhance your overall experience with the Analytics Enclave
Do you need assistance with the Analytics Enclave? We Got You
In line with the ERIS Service Level Agreement (SLA), the Analytics Enclave team offers support during working hours, from 9:00 to 17:00 on Monday to Friday, on working days. More information on the ERIS SLA is available here.
The support offered includes but is not limited to:
- Onboarding new users.
- Troubleshooting and addressing technical issues or queries.
- Scheduled support sessions.
- Managing requests for additional functionality or feature, or modification to existing features.
Please note that we have set our priorities around areas of user assistance with a focus on infrastructure-related issues and optimal use of the data analytics tools and technologies. However, out of scope requests will be handled on a "best effort" or "reasonable effort" basis.