Information storage using asset registers and graph databases plays a vital role in digital twin design by providing a comprehensive and interconnected repository of data. Asset registers enable the identification and cataloguing of all relevant assets within a system, capturing their characteristics, relationships, and metadata. This information serves as the foundation for creating accurate and detailed digital representations. Graph databases further enhance the digital twin by capturing complex relationships and dependencies between assets, enabling a holistic view of the system. By leveraging these storage mechanisms, digital twins can incorporate real-time data, historical information, and predictive analytics, facilitating advanced simulations, monitoring, and optimization of assets and processes. Ultimately, the utilization of asset registers and graph databases empowers organizations to build and maintain highly accurate and dynamic digital twins that enhance decision-making, optimize operations, and improve overall performance.