Jones et al. (2020) conducted a systematic literature review of 92 Digital Twin publications from the last ten years to characterize the concept, identify knowledge gaps, and define future research directions. The study defines the Digital Twin as a virtual representation of a physical entity, connected through data links, and includes 13 characteristics: Physical Entity/Twin, Virtual Entity/Twin, Physical Environment, Virtual Environment, State, Realisation, Metrology, Twinning, Twinning Rate, Physical-to-Virtual Connection/Twinning, Virtual-to-Physical Connection/Twinning, Physical Processes, and Virtual Processes. The research also outlines a framework for the Digital Twin and its operation process. The study identifies seven key research gaps: Perceived Benefits, Digital Twin across the Product Life-Cycle, Use-Cases, Technical Implementations, Levels of Fidelity, Data Ownership, and Integration between Virtual Entities. The paper emphasizes the need for a consistent understanding of the Digital Twin to ensure future research is based on solid foundations. The study highlights the importance of integrating physical and virtual environments, ensuring data accuracy, and addressing data ownership and security concerns. It also discusses the potential of the Digital Twin in various industries, including manufacturing, healthcare, and agriculture, and the need for further research to fully realize its benefits. The paper concludes that the Digital Twin has the potential to revolutionize industries by enabling real-time monitoring, optimization, and decision-making.Jones et al. (2020) conducted a systematic literature review of 92 Digital Twin publications from the last ten years to characterize the concept, identify knowledge gaps, and define future research directions. The study defines the Digital Twin as a virtual representation of a physical entity, connected through data links, and includes 13 characteristics: Physical Entity/Twin, Virtual Entity/Twin, Physical Environment, Virtual Environment, State, Realisation, Metrology, Twinning, Twinning Rate, Physical-to-Virtual Connection/Twinning, Virtual-to-Physical Connection/Twinning, Physical Processes, and Virtual Processes. The research also outlines a framework for the Digital Twin and its operation process. The study identifies seven key research gaps: Perceived Benefits, Digital Twin across the Product Life-Cycle, Use-Cases, Technical Implementations, Levels of Fidelity, Data Ownership, and Integration between Virtual Entities. The paper emphasizes the need for a consistent understanding of the Digital Twin to ensure future research is based on solid foundations. The study highlights the importance of integrating physical and virtual environments, ensuring data accuracy, and addressing data ownership and security concerns. It also discusses the potential of the Digital Twin in various industries, including manufacturing, healthcare, and agriculture, and the need for further research to fully realize its benefits. The paper concludes that the Digital Twin has the potential to revolutionize industries by enabling real-time monitoring, optimization, and decision-making.