TY - JOUR A1 - Ankli, P. P. A1 - Abdelwahab, A. A. A1 - Logachov, A. A1 - Bugiel, R. A1 - Drobne, D. A1 - Novak, S. A1 - Kranjc, E. A1 - Saje, S. A1 - Pellegrino, F. A1 - Alladio, E. A1 - Sordello, F. A1 - Corrao, E. A1 - Hodoroaba, Vasile-Dan A1 - Radnik, Jörg A1 - Mrkwitschka, Paul A1 - Madbouly, Loay Akmaal A1 - Akdemir, Yücel A1 - Gulumian, M. A1 - Wepener, V. A1 - Andraos, C. A1 - Boodhia, K. A1 - Jones, E. A1 - Doolin, A. A1 - Leuchtenberg, K. A1 - Valsami Jones, E. A1 - Rocca, C. A1 - Ibrahim, B. A1 - Singh, D. A1 - Chakraborty, S. A1 - Jurkschat, K. A1 - Johnston, C. A1 - Van Der Zande, M. A1 - Fernandez, D. A1 - Queipo, P. A1 - Clifford, C. A1 - Hardy, B. T1 - Knowledge Infrastructure supporting image-based characterisation of 2D graphene materials N2 - As part of the European Horizon ACCORDs project, advanced methods are being developed for the image-based characterisation of 2D nanomaterials. Given the complexity of this task, robust nd wellorganised data management is critical to ensuring high-quality outcomes. To support this, we have established a knowledge infrastructure that serves as the central repository for protocols, images and experimental data which are stored in a standardised, harmonised manner and in accordance with the FAIR principles – Findable, Accessible, Interoperable and Reusable and open science. This machine-readable framework enables the systematic and computationally automated correlation of image features with experimental descriptors, facilitating accurate material characterisation and transparent reporting which is all integrated in the ACCORDs KI. KW - Graphene-related 2D materials (GR2M) KW - 2D materials KW - Knowledge infrastructure KW - Characterisation PY - 2025 DO - https://doi.org/10.1016/j.toxlet.2025.07.660 SN - 0378-4274 VL - 411 SP - S281 EP - S282 PB - Elsevier B.V. AN - OPUS4-65061 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -