At month 36 of 48, CE‑RISE has built a preliminary Information System that ingests DPP data, supplements it with data‑quality and uncertainty metadata, and generates decision‑support outputs. The stack spans front‑end, microservices and a verifiable DPP (vDPP) layer with cryptographic proofs and selective disclosure, enabling trusted, access‑controlled sharing of sensitive supply‑chain data.
The consortium delivered the first cross‑category R‑indicators (reusability, repairability, refurbishability, remanufacturability, recyclability) and started partner testing, prioritising repairability and recyclability. In parallel, we finalised a comprehensive data‑quality and uncertainty framework (traceability, pedigree matrix, analytical/Monte‑Carlo propagation) for comparable, trustworthy results. For impact calculations, we released a disaggregated open background dataset and an automated, PEF‑aligned hybrid LCA procedure linking DPP foregrounds to LCI and Supply‑Use Tables.
To enable portable, machine‑actionable DPP/DMP data, CE‑RISE published a layered data‑model architecture with core/optional domains, profiles and clear separation between product/material content and metadata. A schema‑agnostic metadata layer makes passports self‑describing, while an access‑and‑governance model captures operational settings for selective disclosure at scale. Domain packages (materials, traceability & life‑cycle events, circularity/EoL, integrated LCA, compliance & standards, usage & maintenance) complete the stack, allowing modules to consume heterogeneous inputs consistently.
We also delivered the trust and connectivity layer: a vDPP anchored on energy‑efficient blockchain proofs, plus hardened APIs and selective disclosure for secure, verifiable data exchange.
Five pilots (ICT refurbishment, printers & cartridges, heat pumps, PV/secondary silicon, batteries) are demonstrating improved routing, higher SRM yield/quality and clearer reporting. Our conformity work was reframed into a Compliance Model Module assessing DPP data readiness against key standards (ESPR/CSRD/ESRS) and providing actionable feedback; development continues in 2026.