OK, so you performed a simulation of a biomolecule, but how do people reproduce it or use it? The FAIR data principles-Findability, Accessibility, Interoperability, and Reusability-are a set of guidelines designed to improve the management and stewardship of research data. In the context of MD simulations, acknowledging and adhering to these principles ensures that data can be easily found, accessed, integrated, and reused by other researchers. These issues have recently been discussed by Caparotta and Perez 37 and a consortium of leaders in the simulation field. Overall, providing standardized protocols for data preprocessing and analysis allows others to replicate results more easily. In addition, developing application programmable interfaces (APIs) or tools for automatic data extraction, simulation, and analysis can enhance accessibility but at a cost for accuracy and appropriate contextualization of the data created. Encouraging community-driven contributions and feedback through platforms that support open-source collaboration can further amplify the value of the shared data, fostering innovation and iterative improvements in simulation methodologies.