This handbook provides a comprehensive guide to research data management (RDM) principles and practices for graduate students and research coordinators. It emphasizes the importance of data integrity, reproducibility, and ethical considerations, particularly concerning Indigenous data governance. The handbook covers various aspects of RDM, including data organization, storage, version control, file naming conventions, and data sharing. It also explores the FAIR and CARE principles as guiding frameworks for responsible data management, and addresses issues of ownership, copyright, licensing, and data deposition. Finally, it offers practical advice and resources to help readers implement effective RDM strategies.