The provider remains in control
Providers define what they offer, for which purposes, under which conditions and which results may leave their environment.
An environment where providers, manufacturers, developers, clinical organisations and technology partners turn data, models and capabilities into Data Products that can be used under clear conditions.
EDGE/DM connects supply and demand around concrete resources, preserving provider control and introducing a reviewable process before access or execution.
Providers define what they offer, for which purposes, under which conditions and which results may leave their environment.
Requests are reviewed against the declared purpose, eligibility and the specific conditions of each Data Product.
The space can bring together datasets, inference services, benchmarks, secure workflows and reusable evidence.
Provenance, versions, restrictions, executions and results remain associated with the product and its context of use.
The proposition does not end when a catalogue entry is published. EDGE/DM structures the journey required for an asset to be discovered and used in a controlled way.
These products illustrate different forms of value: validation against reference, delivery of clinical capabilities and stronger confidence in results.
Evaluates LFT readers, applications or algorithms against governed images and reference values, supported by the SmartDX ground-truth dataset.
View product →A time-series service for exploring inference over clinical signals under a defined access and usage framework.
View product →An inference capability for microscopy images, presented with its scope, available evidence and usage boundaries.
View product →A service that links AI results to explanations, records and evidence supporting review, audit and responsible use.
View product →Value emerges when participants can collaborate without giving up their responsibilities or control over their assets.
Each organisation can enter with a different role and evolve from an initial conversation to publishing or using a Data Product.
Explore how to describe and publish data, ground truth, models, services or capabilities while preserving conditions and control.
Value for providers →Review the public catalogue, including scope, evidence, availability and access model, before requesting participation.
Explore Data Products →Collaborate on inference, validation, interoperability, secure execution, analytics or traceability.
AI collaboration →Review roles, access decisions, obligations, usage boundaries and trust mechanisms.
Governance and trust →Public documentation explains the data-space proposition, participation pathways, governance, technical foundations and value models.