Knowledge organization (KO) [1] is a crucial activity within a library system. Cataloguing and Classification are the two integral parts of KO. This article discusses the major research interests (trends) of the LIS practitioners and researchers over library cataloguing and classification. A collection of 63 articles (bibliographic data) published in the Cataloguing & Classification Quarterly (2021-22) was downloaded from the Dimensions AI. Research interests were imparted based on human judgement (authors') and grouped into six categories viz. Personal portraits, Cataloguing, Classification, Bibliography, Subject indexing, Miscellaneous (mixture of cataloguing, indexing, and classification). Further, sub-categories were added to the main categories. The following sections enlighten the authors' contribution and research interests.
1. Authors' contribution
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2. Research trends
The reason behind selecting the journal "Cataloguing & Classification Quarterly" is to understand the core concepts of knowledge organization in the LIS domain. In the recent past, most of the authors prefered to undertake a study on Cataloguing (f=33) which has now become more advanced. The second most prefered research interest is the Classification (f=12) which was followed by Subject indexing (f=6), Miscellaneous (f=6), Bibliography (f=3), and Personal portrait in form of interview or biography (f=3).
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Fig.2 |
Note: Asterisk (*) marked terms are the emerging research interests among the researchers
Table 1 shows the sub-categories of the main six categories. The increasing application of information communication technologies in cataloguing and classification can be observed from the table. First, a couple of articles deals with personal interviews and biographical portrait. There are several research approaches made by the LIS researchers. Second, in cataloguing, bibliographic metadata standards, frameworks, and models (e.g., MARC, BIBFRAME, Resource Description and Access (RDA), Library Reference Models (LRM))[2], subject access, authority records can be considered as the significant research areas. Third, certain hot topics such as Knowledge Organization System (KOS), machine learning, and Wikidata are included in the classification [3-5]. There is also some research work based on classification schemes. Fourth, three articles dealt with some bibliographical compilation. Fifth, Subject indexing is associated with cataloguing and classification. Hence, few papers were based on automated subject indexing and KOS. Sixth, six papers representing library services, Linked Data, and open-source software applications were contributed [6-7].
From this, we can get an idea of what kind of research trends exist nowadays.
Note: This article is only for educational purposes
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