Distributed data management is a research field and methodological approach concerned with the principles, techniques, and systems for storing, accessing, processing, and maintaining data that is physically or logically distributed across multiple interconnected computing nodes. It investigates the challenges and solutions related to data distribution strategies, consistency models, concurrency control, fault tolerance, query processing, and system administration in decentralized environments, aiming to achieve scalability, availability, performance, and resilience for data-intensive applications.