For years, many organisations have faced a difficult contradiction: they need to collaborate more than ever, yet sharing information still generates distrust.
Who can access the data? For what purpose? For how long? What happens once information leaves our systems?
Data spaces were created precisely to answer those questions. Not from a purely theoretical perspective, but from a very practical need: enabling companies, suppliers, customers and public administrations to collaborate without losing control over their data.
And that is where the real challenge lies.
Because building a data space is not simply about connecting platforms. It requires defining rules, ensuring interoperability, validating components and making sure that all participants share the same technical and organisational understanding.
In sectors such as automotive, industry, energy or healthcare, this is no longer a conversation about the future. It is already happening today, as more and more organisations realise that value does not only come from accumulating data, but from being able to share it in a secure, traceable and trustworthy way.
At SQS, we work precisely on the critical aspects that allow data spaces to function effectively. From ecosystem design and validation to conformity assessment, interoperability and security verification, we help organisations integrate into data-sharing environments with real guarantees.
Our experience in testing, quality assurance and validation of complex systems enables us to approach data spaces from a practical perspective, aligned with leading European frameworks and reference standards such as Gaia-X, IDSA (International Data Spaces Association) and DSSC (Data Spaces Support Centre).
This includes component validation, interoperability testing, conformity assessment and verification of the requirements needed to participate in secure and sovereign data-sharing ecosystems.
