Data Space
Telefónica Tech Data Space
It is a platform designed to enable different actors to exchange information securely, traceably, and in compliance with regulations, without relinquishing control over their own data assets.
Unlike conventional cloud systems, it does not store data or histories centrally: data is shared in real time from the provider’s infrastructure, under defined access conditions. This architecture respects data sovereignty, avoids duplication, and facilitates agile, scalable, and governed collaboration between organizations.
KEY FEATURES
Universal and federated connectivity
OT/IT connectors and cloud adapters to integrate heterogeneous sources from multiple organizations.
Access control and data sovereignty
Definition of data usage agreements, access policies, and restrictions based on context, role, and purpose (data usage control).
Semantic and syntactic interoperability
Standardized data models and alignment with federated catalogs.
Federal government and regulatory compliance
Support for GDPR, ISO/IEC 27001, IEC 62443, eIDAS, and Gaia-X, with logging of access, transfers, and data usage through auditing and logging mechanisms.
Digital asset catalog
Publication, discovery, and federation of data and services using standards such as IDS Metadata Broker and Self-Descriptions.
Execution of services on shared data
Integration of AI/ML, digital twins, simulation, and advanced analytics without loss of control or transfer of data ownership.
BENEFITS
The value of Data Space
Activation of data as a shared strategic asset
Full interoperability between systems and organizations
Complete traceability and guaranteed regulatory compliance
Building reliable inter-company ecosystems
Reduction in integration and audit costs
Deployment of collaborative and innovative use cases
Key features
Multisectoral
Telefónica Tech Data Space allows you to create independent data spaces with different objectives on a common technological basis.
It includes specific capabilities for each sector, such as:
- Adaptation of data to sector models and standards
- Anonymization and pseudonymization for health and research
- Advanced processing and execution of algorithms in industrial environments
FREQUENTLY ASKED QUESTIONS
Each vendor manages its own assets through customized catalogs, publication flows and access control. Data is transformed into common models, such as NGSI-LD, to ensure interoperability. Sharing is governed by digital contracts, dynamically evaluated by policy engines (OPA), with integrated traceability and auditing.
Data remains hosted on the provider’s infrastructure, whether in edge, cloud or hybrid systems. The platform does not centralize information, but acts as an intermediary to discover, access and consume data directly at its original location, through secure and auditable connectors.
The primary responsibility lies with the provider, but the ecosystem includes mechanisms for semantic validation, traceability, versioning and origin certification that strengthen trust. Furthermore, data contracts allow explicit conditions to be established regarding the use, format, frequency or quality of the shared information.
Access is enabled for organizations registered as participants, which can assume roles of provider, consumer or operator/customer. Each access is governed by verifiable credentials and digitally signed usage contracts. Governance policies allow access to be restricted based on context, type of consumer, stated purpose or level of trust required.
