Shared semantics as a sustainable compliance infrastructure
Sustainability requirements, regulatory obligations, and customer-driven transparency demands are rapidly increasing across industrial value chains. Organisations are expected to demonstrate traceability from raw material sourcing to final product delivery, covering environmental impact, responsible production, and compliance evidence. In many sectors, value chain information is distributed across multiple actors, systems, and documentation practices. This creates a growing need for shared semantic structures that can support end-to-end traceability, sustainability reporting, and regulatory responsiveness without excessive manual effort.
The SDR challenge concerns establishing a unified semantic foundation for traceability and compliance across the entire value chain. Traceability-relevant information — material provenance, transformation steps, sustainability attributes, compliance declarations — is often fragmented and represented inconsistently between systems and stakeholders. Without standardised semantic definitions, new regulatory requirements frequently trigger labour-intensive data harmonisation and manual reporting workflows. The challenge is how shared ontological structures and consistent data object definitions can eliminate repetitive manual integration while enabling long-term, scalable transparency and accountability. SDR thus becomes a prerequisite for sustainable compliance infrastructures rather than an additional documentation layer.
How can Semantic Data Readiness enable scalable sustainability traceability and regulatory compliance across complex industrial value chains?
Higher SDR maturity — through standardised semantic definitions and interoperable traceability structures — reduces the manual burden of compliance adaptation and enables flexible reuse of sustainability-relevant information across evolving regulatory scenarios.
Open or synthetic datasets can be used to benchmark how semantic traceability models support compliance and sustainability reporting requirements. Experiments may explore end-to-end value chain object representations, ontology-aligned provenance and transformation modelling, and adaptability of semantic traceability structures to new regulatory demands. Evaluation focuses on reuse, interoperability, and reduction of manual data preparation when compliance requirements evolve.
Practical exploration of how existing value chain and sustainability data can be structured according to SDR principles within real industrial environments. This includes how internal data can be aligned with emerging regulatory ontologies, how supplier-contributed sustainability information can be integrated without semantic drift, and how governance can balance transparency with confidentiality and competitive sensitivity.
Closely linked to Digital Product Passport ecosystems (UC007), circular material traceability (UC002), and federated governance patterns (UC009). Provides the regulatory-reporting flagship for SDR as a compliance infrastructure layer.