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

MedTech Data Product Catalogue

Explore the initial Data Products in the EDGE/DM pilot data space: datasets, inference services, benchmarks and traceability capabilities for MedTech use cases.

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.

A catalogue of complementary capabilities

Data, services, benchmarks and traceability under one governance framework.

Each entry describes its purpose, intended uses, restrictions, available evidence and access model to support controlled and transparent MedTech collaboration.

01

Discover capabilities

Explore assets and services for research, technical evaluation, inference and traceability.

02

Governed access

Each Data Product retains the usage conditions, restrictions and access decisions defined by its provider.

03

Traceable use

Requests, authorisations and executions can be documented through associated evidence and traces.

EDGE/DM

EDGE/DM catalogue

Initial Data Products in the pilot data space, published with information on purpose, permitted uses, access conditions and available evidence.

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 accessView Data Product details
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 accessView Data Product details
Reference datasetSandbox validatedRequest-based

SmartDX LFT Ground-Truth Reference Dataset

Composite asset linking anonymised COVID-19 lateral-flow images with anonymised viral-load values. It is the governed reference base for the LFT reader benchmark.

ProviderIDNEO
PurposeResearch, study preparation and controlled evaluation
Evaluated inputRequest with a defined purpose and protocol
OutcomeGoverned access or authorised execution depending on modality
Ground truthLFT image and associated reference value
AvailabilityOperational pilot subject to integration
Intended uses
ResearchBenchmark designModel evaluationData-quality analysis
Prohibited uses
Clinical useRe-identificationRedistributionUnauthorised training or export
Evidence and deliverables
Dataset descriptionData qualityProvenance and componentsAnonymisation evidenceData minimisationPolicyReferenceDUA/DUPRulebook conformance
View Data Product details
Validation benchmarkSandbox validatedControlled execution

Lateral Flow Reader Validation & Robustness Benchmark

Evaluate algorithms, applications and lateral-flow readers against anonymised images and associated viral-load values. Measure performance and robustness without exposing the reference set.

ProviderIDNEO
PurposeIndependent validation of LFT decoding and reading robustness
Evaluated inputCompatible model, API, application or reader
OutcomeComparative performance, error and robustness report
Ground truthCOVID-19 LFT images + associated viral load
AvailabilityOperational pilot subject to integration
Intended uses
Model evaluationBenchmarkingRobustness analysisPOCT reader R&D
Prohibited uses
Clinical diagnosisMedical decision makingRe-identificationUnauthorised ground-truth export
Evidence and deliverables
Benchmark protocolDataset cardMetric definitionsResults by viral loadFalse-positive/negative analysisEvaluated hash and versionDUA/DUPExecution trace
View Data Product details
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 accessView Data Product details