Research in data access management for Mobile Ad Hoc Networks (MANETs) focuses on ensuring secure, efficient, and reliable access to distributed data resources in highly dynamic and decentralized environments. Recent works explore trust-based and role-based access control mechanisms that adapt to changing network topologies and node behaviors. Lightweight cryptographic schemes, blockchain frameworks, and attribute-based encryption are increasingly used to provide authentication, confidentiality, and fine-grained access control without centralized authority. Machine learning-assisted decision systems are also employed to detect unauthorized access and optimize data sharing. These advancements collectively enhance data integrity, privacy, and availability, enabling robust and adaptive data management in MANETs.