AeroMatPass-X

Overview

Early supply chain in aviation: The digital material passport in the data ecosystem as a driver of innovation

Project runtime: 01.01.2026 - 31.12.2026

Motivation

Despite the high level of documentation and the complexity of product development processes, the aviation industry still faces major challenges in achieving comprehensive digitisation and end-to-end data exchange due to its heterogeneous supply chains and companies. Currently, these processes are primarily document-based, e.g. via the transfer of PDF files. The AeroMatPass-X project aims to link the MaterialDigital (PMD) platform with the technological solutions of the Manufacturing-X project family and other Gaia-X-based data ecosystems, focusing on aviation. This link is intended to enable material-focused data exchange with the help of open and sovereign data ecosystems. Solutions from Gaia-X-based data ecosystems will be applied to specific use cases requiring material data, or will be expanded to include material ontologies.

Goals and approach

This use case from the aviation industry involves integrating material data into digital product passports (DPPs). The aim is to enable participants in the early stages of the aviation supply chain, in particular, to reliably provide and consume material data. This data is to be described in a standardised manner based on the Platform MaterialDigital (PMD), and exchanged via the architecture building blocks of existing Manufacturing-X projects and data ecosystems, such as Catena-X.

Innovations and perspectives

While current data ecosystems are primarily based on data model descriptions — i.e. the direct modelling of data structures — this project involves the construction of data structures based on a materials ontology. Using an ontology ensures interoperability and harmonisation with various data formats and domain ontologies. It also allows standards relating to EDI, ECLASS, Asset Administration Shell (AAS) and SAMM (Catena-X) to be addressed in parallel. Ontologies also enable rapid expansion and adaptation. In addition to the use of ontologies, the provision of information within the data ecosystem is addressed. Another innovation is the integration of external/independent testing laboratories as data suppliers within the ecosystem.