
The community provides access to an Open Research Infrastructure.

Types of Resources
1
Data & Technical Infrastructure
2
Research & Evidence
3
Implementation & Governance
4
Community & Capacity

All Resources
01
Data & Technical Infrastructure
Tiered-access data repositories
Curated and well-documented datasets organized across three access levels: open-source datasets with gated access, standardized data cards, and streamlined downloading; restricted partner datasets governed by consent, data-use agreements, and persistent identifiers such as DOIs; and federated data-access pathways through DISCO, enabling privacy-preserving model development without centralizing sensitive data.
02
Data & Technical Infrastructure
Independent benchmarking and validation
Standardized evaluation pipelines using held-out datasets, predefined metrics, and transparent reporting frameworks to support reproducible performance assessment across models, sites, and use cases.
03
Data & Technical Infrastructure
Task-specific fine-tuning pipelines
Prebuilt infrastructure for automated model fine-tuning and evaluation, allowing teams to submit imaging data, REDCap-linked metadata, and labels for training on shared backbones and standardized compute pipelines.
04
Data & Technical Infrastructure
Platform trial infrastructure
A reusable and modular framework for rapidly establishing clinical validation studies, platform trials, and multi-site evaluations across different diseases, settings, and AI use cases.
05
Research & Evidence
Publication templates and paper skeletons
Ready-to-use manuscript structures, reporting frameworks, and draft templates that help teams organize methods, results, and interpretation for peer-reviewed publication.
06
Research & Evidence
Collaborative research support
Structured support for coordinating academic outputs, multi-site studies, shared analyses, authorship planning, and co-authored publications across partner institutions.
07
Implementation & Governance
Implementation and protocol library
Adaptable operational guides, study protocols, case report forms, and implementation materials, including resources from CAD-TB and related AI-POCUS use cases, designed for direct adaptation across sites.
08
Implementation & Governance
Governance and compliance resources
Practical documentation and tools for responsible data and AI governance, including data-transfer agreements, consent frameworks, ethics materials, data-use templates, and implementation-ready compliance resources.
09
Community & Capacity
Training and learning resources
Consolidated educational materials for clinicians, practitioners, and technical teams, including ultrasound training modules, applied AI guidance, onboarding resources, and practical implementation tools.
10
Community & Capacity
Grant development toolkit
Reusable templates, proposal language, budgets, workplans, and technical components to accelerate grant development and align project concepts with specific funding calls.
11
Community & Capacity
Convenings and knowledge exchange
Webinars, workshops, working groups, and recorded sessions that support continuous learning, technical exchange, and community-building across partners.
01
Collaborative model training
02
No raw data transfer
03
Participation by institutions with restricted data
04
Inclusion of organizations lacking computational resources

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Provide guidance, not rigid mandates
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Respect sponsor restrictions
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Avoid forcing data transfer
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Allow modular participation
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Be governed by community-agreed principles
The repository will:
-
Provide guidance, not rigid mandates
-
Respect sponsor restrictions
-
Avoid forcing data transfer
-
Allow modular participation
-
Be governed by community-agreed principles
