Data Spaces& Interoperability

Case Study — Operational Data Provider

Context ​

Participation in the Spanish National Tourism Data Space initiative led by SEGITTUR, focused on enabling interoperable data sharing across the tourism ecosystem.

Role ​

• Registered data provider
• Direct interaction with data space infrastructure
• Hands-on use of Connector-as-a-Service

Implementation ​

• Onboarding through managed connector infrastructure
• Configuration of secure access and credentials
• Publication of interoperable data assets
• Alignment with UNE 178503 semantic model

Key Outcomes ​

• Validated end-to-end participation as data provider
• Implementation supported by lightweight edge-based architecture for interoperable data exposure.
• Demonstrated that connectivity is not the main barrier when using managed services
• Identified data quality and semantic consistency as critical factors
• Confirmed that governance defines real usability of shared data

Key Insight ​

Once technical integration is simplified, the real challenge shifts to making data understandable, trustworthy, and reusable across domains.

Status: Applied Exploration

Building on direct experience in tourism data spaces, current focus is on IT-OT convergence in energy and industry, where the challenge is extending operational data beyond isolated systems.

Insights from enerTIC Foro Tendencias 2026 reinforce that the gap is not technological, but governance-driven interoperability of operational data.

Support for joining data space initiatives as a data provider, based on practical experience:

• Onboarding using Connector-as-a-Service
• Configuration of credentials and secure access
• Connectivity validation and initial setup

Focus on reducing friction in the onboarding process and accelerating time to participation.

Structuring and exposing data for interoperable reuse:

• Semantic modeling (UNE 178503 or equivalent)
• API and endpoint preparation
• Publication of reusable data assets

Ensuring data can be discovered, understood, and consumed across organizational boundaries.

Definition of how data is shared, accessed, and controlled:

• Access policies and permissions
• Usage control and trust mechanisms
• Alignment with Gaia-X principles

Enabling controlled data sharing while maintaining ownership and trust.

Bridging the gap between pilot and real usage:

• Identification and definition of use cases
• Integration with existing systems
• Transition from pilot to operational workflows

Ensuring that data spaces deliver measurable value beyond experimentation.