This presentation discusses managing research data through the data life cycle. It begins with an overview of the research life cycle and embedding the data life cycle within it. Key aspects of data management are then covered, including why manage data, ethical and legal issues, requirements for data sharing and retention, and creating a data management plan. The rest of the presentation delves into each stage of the data life cycle, providing best practices for data collection, organization, security, storage, documentation, processing, analysis, and long-term preservation or sharing. File formats, metadata, repositories, and bibliographic resources are also addressed.