Testing and validation of data space integration prototype (PoC)

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Testing and validation of data space integration prototype (PoC)

Aperçu

This service validates whether a customer’s digital, AI or robotics solution can interact reliably with a sectorial data space or data space initiative (DSI). It builds on an existing integration blueprint and test scenarios. Once the customer solution is available in a test-ready state, the agreed use case is translated into test cases and acceptance criteria and evaluated in a controlled digital test environment. Testing can cover participant access, publication and discovery of data or service offerings, application of agreed access or usage conditions, data and metadata exchange, error handling, logging and selected technical performance indicators. The customer receives documented test evidence, a validation report and recommendations for resolving remaining gaps. The result is objective evidence of interoperability and a clear basis for the customer’s next steps towards data space participation.

En savoir plus sur le service

Comment le service peut-il vous aider?

Before the service, the customer may have a data space integration blueprint but no objective evidence that the intended use case works reliably under defined conditions. After the service, the agreed use case has been demonstrated end to end in a controlled environment. The customer can show that its solution can publish or consume a defined offering, apply agreed access or usage conditions, transfer data, handle errors and produce traceable logs. The validation report and test evidence help the customer prioritise product improvements, demonstrate technical readiness to partners, and make informed decisions about further data space participation.

Comment le service sera fourni

The service is delivered remotely or in a hybrid setup and normally starts from the output of the data space integration readiness assessment service or an equivalent customer specification. Delivery includes a technical kick-off, review and refinement of test cases, preparation of the digital test environment and representative test data, test execution, analysis of results and a final results workshop. Typical execution time is 6–12 weeks. The customer provides a technically accessible solution or test instance, API access, representative and lawfully usable test data, architecture and deployment documentation, a technical contact and any required credentials or certificates, if needed. Outputs include the test plan, test setup documentation, a validation report and recommendations for further data space integration.

Personnalisation du service

The service can be adapted to the customer’s solution, intended data-space use case and technical starting point. Customisation may cover the customer’s role as data provider, data consumer or both; the number and type of data products or services to be tested; the available interfaces, data formats and metadata; the required depth of analysis, implementation or testing and so on. The detailed scope, customer inputs, deliverables, number of iterations and schedule are agreed at the start. Delivery depends on access to sufficient technical documentation, representative test data, relevant interfaces and customer experts.
Secteur
Arable farming
Food processing
Greenhouse
Horticulture
Livestock farming
Tree Crops
Viticulture
Type d'essai
Data
Design / Documentation
Software or AI model
Type de service
Data analysis
Desk assessment
Performance evaluation
Test design
Test execution
Test setup
Pays de livraison
Pays de livraison: Austria
Remote Remote
Prestataire(s) de services:

Related Services

The service on this page can be combined with one or more of these services to provide a complete package tailored to the needs of each individual customer.

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