mindLAMP Core Services
The mindLAMP Core is a centralized service that supports research teams and clinical programs in using mindLAMP correctly, consistently, and responsibly.
The Core is responsible for:
- Guiding how mindLAMP is configured and deployed
- Ensuring studies are designed in ways that produce usable, comparable data
- Maintaining shared infrastructure and analytics
- Supporting teams throughout the full lifecycle of a project
The Core requires a business agreement (established after Phase 1) to support teams throughout their project timeline:
Phase 1: Study & Clinical Design Consultation (free, pre-contracting)
- Meeting with teams to understand research or clinical goals
- Translating goals into specific uses of mindLAMP
- Mapping goals to existing platform features
- Identifying when configuration is sufficient versus when new development would be required
- Flagging study designs associated with missing, low-quality, or non-comparable data
- Advising on appropriate use cases for mindLAMP based on prior deployments
Phase 2: Protocol Optimization & Participant-Centered Design
- Advising on EMA frequency and timing
- Advising on expected engagement patterns and drop-off points
- Recommending passive data streams based on participant comfort and prior use
- Reviewing tradeoffs between data richness and participant burden
- Advising on longitudinal EMA content and structure
- Identifying known failure modes (e.g., survey fatigue, missing data)
Phase 3: Technical & Privacy-Aware Configuration
- Configuring mindLAMP instances to align with institutional privacy requirements
- Supporting study-specific access controls and permissions
- Aligning configurations with data governance expectations
- Providing standardized language and configuration patterns for IRB and security review
- Ensuring consistent implementation of privacy and security safeguards
Infrastructure involved:
- Secure servers
- Role-based access controls
- Audit logs for data access and changes
Phase 4: Infrastructure, Hosting, and Performance Management
mindLAMP supports multiple deployment models. The Core’s responsibilities vary by model.
| Option | Description | Best For |
|---|---|---|
| Self-hosted | Full mindLAMP stack in partner's own AWS account | Organizations with data residency requirements, need for full control |
| Separate instance hosted at BIDMC | Dedicated instance managed by BIDMC team | Organizations wanting data isolation without managing infrastructure |
| Shared BIDMC instance | Use the main mindLAMP instance at lamp.digital | Smaller studies, quick starts, organizations without special requirements |
Across all deployment models, the Core:
- Hosts and maintains servers where applicable
- Monitors uptime & performance
- Manages software updates and platform releases
- Ensures compatibility with OS, device, and platform changes
- Coordinates updates to minimize disruption to active studies
Phase 5: Study Execution & Ongoing Support
Onboarding & Training
- Training project staff on mindLAMP tools
- Supporting participant onboarding workflows
- Advising on participant communication and expectations
Data Monitoring & Analytics
- Assisting with setup of analysis environments
- Supporting use of shared analytics pipelines (e.g., Cortex)
- Advising on monitoring data quality and participant engagement
- Supporting interpretation of digital phenotyping outputs
Troubleshooting & Operational Support
- Responding to technical issues during active studies
- Supporting resolution of participant-reported issues
- Identifying whether issues are platform-wide or study-specific
- Coordinating fixes and updates as needed
Additional Consulting Services
We also offer consulting services in app evaluation and digital literacy training, drawing on our extensive experience with the MINDapps and DOORS programs. For more information, please see the MINDapps and DOORS pages on our website.