Treffer: Rethinking METADATA in the Age of AI.

The article discusses the ongoing debate in library metadata management between two systems: MARC (Machine-Readable Cataloging) and BIBFRAME (Bibliographic Framework Initiative), while also considering the potential role of artificial intelligence (AI) in this context. MARC, established in the 1960s, is a structured format that has been the backbone of library catalogs but is often criticized for its complexity and rigidity. In contrast, BIBFRAME, introduced in 2012, aims to modernize metadata through linked data but has seen limited adoption. The article argues that rather than choosing between these formats, libraries should integrate AI to enhance metadata discovery and user experience, emphasizing the importance of flexible systems that prioritize user needs over strict adherence to metadata formats. It highlights the challenges of implementing AI, including data quality and infrastructure limitations, while advocating for a collaborative approach to improve library services. [Extracted from the article]

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