Data Management
1
2
3
4
5
Download this chapter (PDF)
Standardisation of data space architectures for secure and trusted data sharing

Data spaces allow participants to share, trade, and collaborate on data assets in a manner that is compliant with the participants’ needs and regulations. These spaces could unleash the enormous potential of data-driven innovation. However, large-scale data sharing is hampered by concerns about trust and the lack of control mechanisms for sharing secure and trusted data. Therefore, standardisation of data space architectures that better support secure and trusted exchanges has received notable attention. The need for structured data spaces has grown, and considering the geopolitical situation, there are significant efforts by the European Commission to stimulate the development of common European Data Spaces.

‍

In addition, the maturity heavily varies per domain. The maturity of a metadata standard within the domain enhances the data space’s maturity. Also, the legal basis used within the domain can be very different from domain to domain.

Maturity

WATCH
PLAN
ACT
Show the other ACT trends
More diversified access to large AI models Increase in co-evolution between hardware and AI Collaboration between humans and AI Democratisation of XR content creation using generative AI Public investments in XR continue to increase Standardisation of data space architectures for secure and trusted data sharing Growing significance of augmented data management Trusted digital recognitions are emerging Digital Trust Frameworks: from hierarchical to distributed trust Emerging dualuse of AI in cybersecurity More accessible privacy-enhancing technologies to share data Rising pressure to prepare for post-quantum cryptography Emergence of measures for secure Internet of Things The growing need for security protocols to work in the cloud Growing investments in the European cloud infrastructure & sovereignty More AI-driven hardware in data centres to manage workloads in the cloud Increasing need for heterogeneous and hybrid computing platforms Trade-offs in accuracy with approximate computing Fixed wireless access Fibre optic networks: strategic infrastructure for the knowledge economy Enhancing quantum computing robustness and potential Quantum sensing integration to other domains

Drivers

Impact

education

Education

  • Data spaces based on advanced blueprints enable secure, EU-compliant data sharing among educational institutions. They support AI-driven learning, ensure data sovereignty, and reduce dependence on non-European platforms.
Research

Research

  • Data spaces organised by the latest blueprints in research enable secure, faster data access and facilitate cross-border sharing. They enhance scientific collaboration, accelerate research reproducibility, and drive innovation while ensuring ethical and legal data use.
Operations

Operations

  • By enabling secure data exchange amongst members of a data space, operations can be streamlined. The standardised architectures enhance agility, transparency, and alignment with national and European regulations and digital transformation goals.
More info about Data Management?
Visit surf.nl
Link SURF icoon