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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

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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.

The community will use DISCO for federated learning.
Federated learning allows:

The community will use DISCO for federated learning. 
Federated learning allows:

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

  • Respect sponsor restrictions

  • Avoid forcing data transfer

  • Allow modular participation

  • 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

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