In this paper, CIRA presents the development and application of a Digital Twin technology to its research infrastructures as a tool to innovate, modernise and improve the performance of its systems or sets of them whose data production, management and intelligent analysis can add value to the final result. The Digital Twin of a test facility will not only provide a digital replica of a physical entity (CIRA's research infrastructure), but it will also have to manage all the available data coming from the sensors and cameras, with which the infrastructure is equipped, as well as those coming from the numerical simulation (CFD, FEM, etc.) of the physical phenomenon studied in the facility itself. Through sophisticated techniques such as artificial intelligence, machine learning, internet of things, big data, the digital twin will have to provide, through visualisations and diagrams, not only the results of the tests as provided by the experimental facility alone, but also further information on the state of the facility, details on the investigated phenomena thus new knowledge. It is clear that the core of this digital twin is a digital platform capable of autonomously managing all the subsystems, of merging all the data produced (regardless of their source), of enriching them with data from simulations, of analysing and processing them in such a way as to reproduce the results of the experiments. The paper discusses the strategy adopted for an in-house Project named GEDONE, its structure and functionalities, and the benefits expected from the digitalization of an experimental research infrastructure. The CIRA Icing Wind Tunnel (IWT) has been considered as a user-case for the application of the digital twin.