DPP credibility through federated semantic alignment
Digital Product Passports are emerging as a regulatory and operational mechanism for transparency across product lifecycles. They require coordinated information from multiple actors — manufacturers, suppliers, recyclers, regulators — and span sustainability, compliance, and operational data. In global supply ecosystems this information is distributed across organisations, systems, and standards. DPPs cannot be implemented as centralised databases; they must work as federated knowledge structures with consistent semantics.
The SDR challenge concerns whether DPP information can be made simultaneously regulatory-credible and operationally reusable. DPP requirements demand precise compliance evidence, but the same product data must remain useful for internal engineering, secondary AI applications, and supplier collaboration. Without shared semantics, organisations either over-share, under-share, or lose the link between compliance evidence and operational meaning. The case studies how federated knowledge representation — standard ontologies combined with organisation-specific knowledge — can support DPP construction across boundaries.
How can Semantic Data Readiness enable Digital Product Passports that remain both regulatory-credible and operationally reusable across federated supply ecosystems?
Higher SDR maturity — through ontology alignment, semantic interoperability, and governance-aware knowledge federation — enables DPPs that remain both regulatory-credible and operationally reusable across organisational boundaries.
Open or synthetic datasets used to explore how varying levels of semantic interoperability affect the ability to construct and validate Digital Product Passport information. Benchmark experiments may include federated product identity models, ontology-based compliance attribute alignment, and reconstruction of DPP evidence chains under distributed data assumptions. The goal is to study how semantic structuring enables consistent DPP interpretation across actors without requiring full data centralisation.
Practical exploration of how existing product and supplier information can be structured according to SDR principles in real enterprise environments. This includes investigating how internal product data can be semantically mapped to emerging DPP standards, how supplier-contributed information can be integrated without semantic drift, and how governance mechanisms balance compliance transparency with business confidentiality.
Connects strongly to circular material traceability and lifecycle accountability (UC002), industrial governance scenarios requiring 'open vs protected' interoperability, and broader multi-actor compliance ecosystems where semantics becomes an infrastructure layer. Provides a flagship compliance-driven case for SDR as enabling capability beyond single-organisation architectures.