Metadata is very important in scientific literature. Metadata in electronic dissertations and dissertations (ETDs) requires a modular workflow based on a flexible architecture. Metadata methods must be simplified by adapting procedures for different document formats and structures. The structure of the dissertation document, including Fig.s, tables, footnotes, etc., requires greater attention to the identification and organization of metadata in the ETD for rich textual content. Reliable extraction of appropriate metadata elements, such as title, author, abstract, keywords, etc., is essential for future citation capabilities. Such mechanisms are crucial for evaluating processes and adjusting ETD metadata to facilitate architecture expansion. Most modern ETDs rely on the organization of quality text documents, ranging from raw PDF documents or semi-structured XML documents to uniform standard TEI (Text Encoding Initiative) documents. The present study discusses metadata creation and harvesting, various extraction methods and digital library search, metadata for MARC records in ETD, and access to ETD metadata in the context of the current scenario. It also highlights the tags adopted for the creation of the MARC records in JNU Central Library ETD System for simple-level learning