In order to seamlessly incorporate immersive technologies in battery research and production, it is essential to have a profound understanding of the battery manufacturing process. Battery cell manufacturing is a challenging and complex process, with strict safety and environmental requirements, which involves a sequence of steps . The manufacturing process of LIB cells is highly sensitive to numerous process parameters, for instance to small variations in temperature, composition, pressure, humidity and other conditions that have a strong impact on the battery cell performance and lifespan, thus making it crucial to optimize them to obtain better batteries . LIBs are the dominant battery technology today due to their relatively high energy density, long lifespan, low maintenance and low cost, but there is still room to improve their performance. The LIB cell manufacturing process (Figure ) begins with the selection of the formulation and premixing of the active material, additive conductive and binder powders. Next, the liquid solvent is added to obtain a liquid, viscous ink, and, after mixing, the resulting slurry is coated on the current collector and dried in an oven to evaporate the solvent. Afterwards, the resulting electrode is calendered between two rollers that apply uniform pressure to the strip to increase the electrical conductivity by reducing its thickness and its porosity. The process must be repeated to obtain the second electrode, thus producing a LIB cell consisting of an anode (negative electrode), a separator and a cathode (positive electrode). The two electrodes are cut according to the battery cell format required and assembled using a porous separator, involving either the stacking (e.g. pouch cell format) or winding (cylindrical format) of the components. Next, the terminals are welded, the cell is inserted into a partially sealed capsule, and, the can is filled with electrolyte. The battery cell must be degassed before it is completely sealed. Next, the Solid Electrolyte Interphase (SEI) formation step is performed, and finally, the cell is ready to be used for its application. . This manufacturing process for LIB cells is highly complex, with many interdependencies and a high degree of sensitivity to numerous parameters and a large number of different parameter combinations and work conditions . Therefore, in order to accelerate research and development strategies, it is essential to create a systemic understanding to identify and understand the correlations between the different parameters (e.g. formulation, mixing speed, comma gap, temperature, etc.) and the electrode and cell properties (e.g. electrode conductivity, cell energy density). A better understanding of the manufacturing process at the mesoscale is essential, but efficient Data management has been proven to be essential for accelerating research and development, and has been increasingly explored in recent years . Data management is the process of collecting, storing, organizing and preserving the data created and collected by an individual, a research group or a company , and can be divided into three stages: quick and easy data capture, data storage and preservation, and data analysis for reuse to accelerate research. When data is poorly managed, it can be inaccurate, incomplete or inconsistent, thus making it difficult for researchers or engineers to draw meaningful conclusions from it and leading to wasted resources and time . This can lead to a significant number of lost opportunities for better science and engineering. Thus, data governance and data quality have become top priorities and, for this, it is important to dispose of efficient data management processes and the right technology. When LIB cells are manufactured, a large amount of data is generated (i.e. input parameters such as formulation, coating speed, drying rate, calendering degree, and output parameters such as electrode porosity, cell energy density), and, therefore, it is essential to have tools that facilitate data collection and improve understanding of the data, while highlighting avenues for exploring data analysis. Several tools have already been described, although there are no common standards or policies widely accepted for data management in the battery field . In this paper, we elucidate how MR tools emerge as an invaluable tool for data collection in hazardous environments during the battery manufacturing process. By seamlessly blending the physical and virtual realms, MR tools enhance safety and efficiency, providing an innovative solution for navigating and gathering crucial data in lab and industrial environments, optimizing the data management process as a whole.