In the evolving digital knowledge ecosystem, metadata harvesting plays a crucial role in ensuring seamless access, interoperability, and visibility of scholarly content across distributed digital repositories. This study examines the significance of metadata and explores the architecture, functionality, and implementation of the Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH). By facilitating standardized metadata exchange, OAI-PMH enhances federated discovery, open access, and integration of institutional and global repositories. The research employs a qualitative, literature-based approach and demonstrates successful use cases at NDLI, OpenAIRE, and DSpace. There are existing challenges in metadata harvesting at scale with OAI-PMH, including that it does not support full-text items very well and does not provide real-time updates. The research also discusses new trends in harvesting metadata, including semantic web technologies, AI-enrichment, APIs, and devices such as ResourceSync, which enables the real-time synchronization of items. The research concludes with further thoughts on the usefulness of OAI-PMH in the future and provides recommendations for hybrid approaches to metadata management for future digital libraries.
Harihararao Mojjada (Wed,) studied this question.
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