Data Governance

Data governance focuses on establishing responsible and ethical practices for managing data throughout its lifecycle, addressing issues of privacy, security, and accountability. Current research emphasizes decentralized approaches like federated learning and blockchain technologies to enhance data sovereignty and transparency, often incorporating metadata-driven frameworks and semantic modeling for improved data discoverability and control. These advancements are crucial for fostering trust in AI systems, enabling collaborative data use in diverse fields like healthcare and language technology, and ensuring compliance with evolving regulations.