What question did this study set out to answer?

This analysis aims to define and evaluate resilience in digital twin ecosystems through a structured framework.

May 14, 2026Open Access

Understanding Digital Twin resilience: a conceptual analysis

FAFarah AbdouneÉcole Centrale de Nantes YEYasamin EslamiÉcole Centrale de Nantes DCDa Cunha CatherineÉcole Centrale de Nantes

Key Points

This analysis aims to define and evaluate resilience in digital twin ecosystems through a structured framework.
Developed a vulnerability taxonomy to identify risk factors.
Created a framework of five core resilience dimensions: data, model, synchronization, architectural, and cyber resilience.
Mapped resilience capabilities including detection, response, recovery, and adaptation.
Identified key resilience dimensions critical for digital twin ecosystems.
Provided a comprehensive mapping of resilience mechanisms across defined dimensions.
Ensured transparency and reproducibility by making materials publicly available.

Abstract

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.

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