This document discusses the importance of research data management. It covers the data lifecycle and components of a data management plan. The data lifecycle includes collecting, processing, analyzing, storing, preserving, and sharing data. A data management plan outlines how data will be managed and preserved during and after a research project. It includes information about the data, metadata, data sharing policies, long-term storage, and budget. Developing a data management plan helps keep data organized, track processes, control versions, prepare data for sharing and reuse, and ensure long-term access.