Research Data Management (RDM) refers to the organization, storage, and preservation of data collected during research projects. It ensures that data is easily accessible, secure, and usable for future research or verification. Proper RDM practices help researchers comply with legal and ethical standards, as well as funding agency requirements. Effective RDM involves planning for data collection, documentation, and sharing. This includes creating a data management plan that outlines how data will be handled throughout the research process. By implementing RDM strategies, researchers can enhance collaboration, improve data quality, and facilitate the reuse of valuable information.