Fragmented storage and lack of proper repositories have long been a challenge in MD simulations, but emerging platforms like MDDB, MDRepo, Zenodo, and GitHub offer robust solutions for sharing data. These platforms provide the necessary infrastructure for large datasets, support domain-specific metadata, and facilitate efficient data sharing. When storing large simulation files (e.g., .xtc, .trr, .dcd), researchers should use file compression (e.g., .zip, .tar.gz), downsampling, and removal of solvent (if appropriate) to optimize storage space and upload and download speeds. Importantly, these repositories offer version control capabilities that allow researchers to track changes to their simulation setups and input files.