Guiding Questions
General
What types of value-creation services are most relevant for the sector (e.g., carbon reporting, energy monitoring, predictive maintenance)?
Should horizontal (cross-sector) or vertical (domain-specific) services be prioritised?
How to balance commercial vs. non-profit services?
Rules are needed to define which services can operate within the data space, how they are accredited, and how participants can trust them.
2. Governance and Participation
Who governs service acceptance (central authority, sector councils, accreditation body)?
What criteria should services meet (technical compliance, ethics, sustainability)?
Should service accreditation tiers exist (basic vs. certified)?
Services must integrate smoothly with shared data, registries, and other technical building blocks while ensuring FAIR principles.
Interoperability and Standards
Which interoperability standards (APIs, formats, ontologies) should services follow?
How to ensure compatibility across domains?
How should provenance, traceability, and usage policies be embedded?
Will services expose discoverable APIs with lifecycle metadata and versioning?
Value creation services should be accessible to all participants, not only large organizations with resources.
Access and Fairness
Should shared infrastructure be provided to SMEs/NGOs?
How can we avoid vendor lock-in or over-dependence on a few large providers?
What pricing or licensing models (open access, subscription, pay-per-use, hybrid) would ensure fairness and sustainability?
Services need viable business models, balancing sustainability with impact.
5. Sustainability and Business Models
Should some services be public goods (funded by EU/national initiatives) while others are market-driven?
How to handle revenue-sharing between service, data providers, and users?
How can value creation services be aligned with long-term Green Deal objectives (e.g., CO₂ reduction, transparency, circular economy)?
Will the marketplace have transaction fees and tracking & tracing of purchases?
Trust mechanisms are required to ensure that services deliver accurate, unbiased, and reliable outputs.
Trust, Certification, and Quality Assurance
Should services undergo certification or quality audits?
How can transparency in algorithms, data sources, and methodologies be ensured?
How should liability be handled if a service provides incorrect or misleading results?
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