Subject of information entity is one of the fundamental concepts in the field of information science. Subject of any document represents its intellectual potential -- 'aboutness' of the document. Traditionally, subject (along with title and author) is the one of three major ways to access information, so subject metadata plays a central role in this process and the role is constantly growing. Previous research concluded that the larger bibliographic database is, the richer subject vocabularies and classification schemes are needed to support information discovery. Further, a high proportion of information objects are unretrievable without subject headings in metadata records. This exploratory study provides the analysis of the subject metadata in MARC 21 bibliographic records created in 2020; and develops understanding of the level and patterns of 'aboutness' representation in the MARC 21 bibliographic records. Study also examines how these records apply the recent RDA and MARC21 guidelines and features intended to support functionality in a Linked Data environment. Methods of Social Network Analysis were applied along with content analysis, to answer research questions of this study. Suggestions for future research, implications for education, and practical recommendations for library metadata creation and management are discussed.
| Identifer | oai:union.ndltd.org:unt.edu/info:ark/67531/metadc1707353 |
| Date | 08 1900 |
| Creators | Zavalin, Vyacheslav I. |
| Contributors | Miksa, Shawne D., O'Connor, Brian Clark, Schultz-Jones, Barbara, Nazarova, Muzhgan I. |
| Publisher | University of North Texas |
| Source Sets | University of North Texas |
| Language | English |
| Detected Language | English |
| Type | Thesis or Dissertation |
| Format | ix, 238 pages, Text |
| Rights | Public, Zavalin, Vyacheslav I., Copyright, Copyright is held by the author, unless otherwise noted. All rights Reserved. |
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