Understanding Digital Twin resilience: a conceptual analysis
This dataset contains the figures and tables used in the article Understanding Digital Twin resilience: a conceptual analysis It includes a vulnerability taxonomy, a framework of five core resilience dimensions (data, model, synchronization, architectural, and cyber resilience), and a mapping of resilience capabilities (detection, response, recovery, and adaptation) across these dimensions. The materials support the analysis and evaluation of resilience mechanisms in digital twin ecosystems and are made available to ensure transparency and reproducibility of the research.
Authors
- Farah Abdoune (ORCID: https://orcid.org/0000-0002-2601-1600)
- Olivier Cardin (ORCID: https://orcid.org/0000-0002-9035-9660)
- Yasamin Eslami (ORCID: https://orcid.org/0000-0003-4767-7724)
- Da Cunha Catherine
Institutions
- École Centrale de Nantes (FR)
- Centre National de la Recherche Scientifique (FR)
- Laboratoire des Sciences du Numérique de Nantes (FR)
- Nantes Université (FR)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-05-12
- DOI
- https://doi.org/10.5281/zenodo.20139544
- Primary Topic
- Supply Chain Resilience and Risk Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00