Data spaces are transforming how public and private organisations share, consume and govern information. Technical interoperability—and above all, the validation that components work according to standards—will be the differentiating factor for their widespread adoption.
Why is validation critical in Data Spaces?
Because developing components is not enough: they must be able to communicate with each other reliably.
Common challenges include:
• Integrations that do not follow the standard.
• Incomplete or inconsistent implementations.
• Lack of traceability, auditability or conformity.
• Security risks derived from unverified connections.
What data spaces need to be reliable
• Strict compliance with specifications (IDSA, GAIA-X, DSSC…).
• Interoperability testing among multiple providers.
• Functional and security validation before going into production.
• Objective evidence certifying conformity.
• Automated testing mechanisms to ensure sustainable evolution.
The contribution of SQS
We have years of experience validating distributed and critical systems, which allows us to provide:
• Specific test frameworks for data spaces.
• Interoperability laboratories.
• Automated testing for connectors, datasheets, contracts and catalogues.
• Continuous validation for future certifications.
• Independent technical auditing.
Benefits for organisations
• Avoiding blockages in European and national projects.
• Ensuring that solutions comply with the standard.
• Reducing integration costs and rework.
• Increasing trust in the scalability of the Data Space.
Data spaces will shape the next decade of the digital economy. Validation will be the key step that ensures these architectures are secure, interoperable and sustainable.
