CRED - Centro de Referencia de Espacios de DatosEuropean Union NextGenerationEUGovernment of Spain and Ministry for Digital Transformation and Public AdministrationPlan de Recuperacion, Transformacion y Resiliencia
Public catalogue

Real Data Products from the EDGE/DM sandbox

Entries extracted from EDGE/DM artefacts: early sepsis prediction, malaria microscopy inference, SmartDX COVID-19 composite dataset, LFT decoding and AI traceability/explainability.

All entries are published as governed candidates validated in the sandbox. Operational access remains subject to connector/runtime availability, eligibility review, DUA/DUP and a traceable decision.

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What a real Data Product entry contains

Each Data Product combines a concrete asset or capability with policies, evidence and usage boundaries.

The public catalogue should provide enough information to understand purpose, restrictions and evidence without turning the space into an open repository or promising clinical use.

Concrete asset or capability

It can be an inference service, a composite dataset or a traceability service.

Governance before download

The public action is to read metadata and request access; there is no automatic download of data or models.

Traceable evidence

Each entry references policies, DUA/DUP, rulebook conformance and specific evidence.

EDGE/DM catalogue

These entries were extracted from the EDGE/DM Data Product v0.1 artefacts and replace the previous generic examples.

Inference serviceSandbox validatedService/APIClass1medium

Early sepsis timeseries inference service

Controlled early-sepsis timeseries inference-only service for sandbox validation. It is not intended for clinical decision support or real diagnosis.

ProviderIDNEO
PurposeControlled inference and technical validation
ClassClass1 · Risk: medium
Metadata + requestRuntime/connector pending
Allowed uses
Controlled inferenceTechnical validationInvoke inferenceValidate service
Prohibited uses
Clinical decision supportReal clinical diagnosisMedical decision makingDataset downloadModel weight download
Available evidence
PolicyReferenceDUA/DUPRulebook conformanceAnonymisation evidenceData minimisationModel cardInput/output contractHuman oversight
Request access
Inference serviceSandbox validatedService/APIClass1medium

Malaria microscopy inference service

Controlled microscopy inference-only service for sandbox validation. It is not intended for real diagnosis or patient management.

ProviderIDNEO
PurposeControlled inference and technical validation
ClassClass1 · Risk: medium
Metadata + requestRuntime/connector pending
Allowed uses
Controlled inferenceTechnical validationInvoke inferenceValidate service
Prohibited uses
Clinical decision supportReal clinical diagnosisMedical decision makingDataset downloadModel weight download
Available evidence
PolicyReferenceDUA/DUPRulebook conformanceAnonymisation evidenceData minimisationModel cardInput/output contractHuman oversight
Request access
Composite datasetSandbox validatedRequest-basedClass1medium

SmartDX Lateral Flow COVID-19 composite dataset

Composite Data Product combining anonymised lateral-flow COVID-19 images and associated anonymised viral-load values for governed research, benchmarking and model evaluation in the sandbox.

ProviderIDNEO
PurposeResearch, benchmarking and model evaluation
ClassClass1 · Risk: medium
Metadata + requestRuntime/connector pending
Allowed uses
ResearchBenchmarkingModel evaluationEvaluate datasetBenchmark models
Prohibited uses
Clinical decision supportReal clinical diagnosisMedical decision makingRe-identificationUnauthorised export
Available evidence
PolicyReferenceDUA/DUPRulebook conformanceAnonymisation evidenceData minimisationDataset descriptionData qualityComponent list
Components
Anonymised lateral-flow COVID-19 imagesAssociated anonymised viral-load values
Request access
Inference serviceSandbox validatedService/APIClass1medium

SmartDX LFT decoding inference service

Controlled non-assistive inference service for lateral-flow test interpretation in sandbox validation only.

ProviderIDNEO
PurposeControlled inference and technical validation of LFT decoding
ClassClass1 · Risk: medium
Metadata + requestRuntime/connector pending
Allowed uses
Controlled inferenceTechnical validationInvoke inferenceValidate service
Prohibited uses
Clinical decision supportReal clinical diagnosisMedical decision makingDataset downloadModel weight download
Available evidence
PolicyReferenceDUA/DUPRulebook conformanceAnonymisation evidenceData minimisationModel cardInput/output contractHuman oversight
Request access
Traceability serviceSandbox validatedSecure environmentClass0low

AI interpretability and traceability service

Compliance and traceability service for explanation generation, trace retrieval and audit review without declared access to primary medical data in v0.1.

ProviderIDNEO
PurposeInterpretability, compliance and technical validation
ClassClass0 · Risk: low
Metadata + requestRuntime/connector pending
Allowed uses
InterpretabilityComplianceTechnical validationGenerate explanationRetrieve traceCompliance review
Prohibited uses
Clinical decision supportReal clinical diagnosisMedical decision makingAutonomous clinical decision
Available evidence
PolicyReferenceDUA/DUPRulebook conformanceIntended-use statementProhibited-use statementTraceability scopeExplanation output descriptionPending audit log
Request access

The catalogue shows real capabilities while keeping clear boundaries.

These entries are not final clinical products or open repositories. They are governed Data Products for research, technical validation, evaluation or traceability, with explicit prohibition of real clinical use where applicable.

Public fields per entry

  • Name, provider, type, status, sensitivity and risk.
  • Purpose, permitted actions and access model.
  • Prohibited uses and relevant obligations.
  • Evidence: policies, DUA/DUP, model cards, anonymisation or traceability.
  • Clear CTA to request access or participation.

Public PDF documentation

Read the public documents to understand participation, governance, technical foundation, value models and Data Product definitions.

View all resources