Introducing new materials and products to the market in any of the sectors of transportation, power generation or manufacturing, materials development and up-scaling require a clear understanding of the materials behaviour and durability under specific system operating conditions. This requires long-term materials characterisation, large amounts of capital, and the availability of specific and often complex testing at different test scales. To reduce the risk, time and cost of research and industry investment, digitization of organic electronic systems and their characterization (physical and virtual) is of paramount importance for sharing knowledge, meeting safety and regulatory requirements, improving resource efficiency, and reducing the time- to-market. Due to the complexity of a organic electronic systems with their multiple layers and diversity of characterization methods required to support optimal performance and quality control, the entire history of a final device including material and layer pedigree, and conditions of manufacturing needs to be captured for full traceability. The H2020 and Horizon Europe suite of projects CORNET, RealNano, MusiCode, nanoMECommons, bring together experts in organic electronics characterization, modelling and manufacturing with leading materials information management technology, with one of the objectives being to establish best practices for digitalization of organic electronics from material-to-device levels along with their scale-dependent characterization protocols for traceability and end-user decision-making. In this talk, we will explore the business case and best practices for digitalization for organic electronic systems to support the ongoing efforts of the European Commission to establish Open Innovation Environments for this important enabling technology. High-level schema diagram for the materials information management of organic electronic devices We wish to acknowledge the close collaboration of our partners, notably Professors Argiris Laskarakis and Stergios Logothetidis and the team at the Aristotle University of Thessaloniki, and Professor Elefterios Lidorikis and the team at the University of Ioannina.