Journal of Korean Library and Information Science Society
- P-ISSN2466-2542
- KCI
Vol.56 No.2
Abstract
This study aims to investigate research trends in specialized services by using text mining to investigate research related to library specialized services and to suggest implications. To this end, we conducted a comprehensive survey of academic papers and dissertations on library-specific services using RISS, KISS, KCI, and DBPIA. Based on the analysis results, text mining techniques were used and the collected data was preprocessed. The tools used for the analysis were Python and NodeXL. In addition, the analysis subjects selected through the PRISMA literature selection procedure were titles, keywords, and abstracts, and frequency analysis, TF-IDF, and network analysis techniques were used for the content analysis of the abstracts. The research results show that, firstly, research has been conducted steadily since 2003 in terms of the number of research papers by year, and when divided by period, the number of studies appears to be increasing. Second, in the word frequency(TF) analysis, the words public library, specialization, operation, program, and use showed high frequencies in that order throughout the entire period, and words related to specialized services such as materials and region formed the top 10. Third, the results of TF-IDF word analysis showed that the words public library, specialization, specialization library, plan, and activation had high weights in that order during the entire period, and words related to specialization services such as specialization service, program, region, and National Sejong Library appeared. Fourth, as a result of the degree centrality analysis, related words appeared in the order of specialization, necessity, operation, data, and plan throughout the entire period.
Abstract
The objective of this study is to examine perceptions regarding the collaboration and support between public libraries and small libraries for activities aimed at addressing the knowledge and information divide. To this end, a survey was conducted. A subsequent analysis of the survey results yielded the following implications. Firstly, the necessity of fortifying knowledge and information divide reduction activities between public libraries and small libraries was confirmed. Secondly, the designated areas should prioritize the implementation of reading culture programs and the promotion of existing library services. Thirdly, the following improvements for public libraries were proposed: The objectives of the initiative include securing a budget, strengthening the support and liaison role of regional representative libraries, and promoting education to enhance the expertise of small library operators and volunteers. Fourthly, the following improvements were proposed for public small libraries: The objectives of the initiative include securing librarian personnel, improving awareness, and expanding facilities and equipment. Fifthly, the report highlighted the potential for enhanced collaboration between public libraries and small libraries, emphasizing the importance of facilitating the exchange of opinions and information, as well as specialized education on resolving public-private conflicts and linked management. The findings of this study can be employed as fundamental data for collaborative endeavors between public libraries and small libraries in activities aimed at addressing the knowledge and information divide.
Abstract
This study analyzed public librarians’ perceptions and attitudes toward youth-only spaces by conducting a survey of 142 librarians working at 25 public libraries in the Busan area that provide services for youth, and conducting in-depth interviews with 3 librarians who have experience in youth services. The research findings showed that public librarians in Busan highly recognize the necessity of teen users and teen services, and also demonstrated positive attitudes toward the need for youth-only spaces. In particular, the most important factor in operating youth-only spaces was found to be respecting youth opinions and promoting their participation. To realize this, a shift in awareness among library stakeholders must be prioritized, and it was confirmed that librarians should recognize that youth are the true owners of library spaces and support them in proactively creating these spaces. Additionally, it was emphasized that youth opinions should be actively reflected in various service areas including collection development, program planning, and operations.
Abstract
This study analyzes the cases of BIBFRAME implementation at the Library of Congress and the National Library of Sweden to propose an action plan for adopting BIBFRAME in national libraries in Korea. The analysis is structured around five components: vocabularies, ontologies, applications, systems, and projects. Based on the findings, four strategic recommendations are proposed for Korean national libraries. First, a vocabulary encoding scheme should be developed using standards such as SKOS and MADS/RDF, tailored to Korea-specific bibliographic data. Second, an application profile for the BIBFRAME ontology should be created to incorporate elements unique to Korea and accommodate local technical requirements. Third, software tools—such as mapping modules, data transformation specifications, converters, and editing utilities—should be developed to support data enrichment and system migration. Fourth, since the KORMARC format is expected to remain in use for the foreseeable future even after the implementation of a BIBFRAME-based system, a dual-format environment supporting both MARC and BIBFRAME should be adopted. Additionally, a dedicated project team composed of skilled professionals should be established within national libraries to oversee implementation. This study contributes to developing a practical and comprehensive roadmap for BIBFRAME adoption at the national level in Korea.
Abstract
This study proposes an improved method for identifying works using KORMARC bibliographic records in the field of Korean literature, provided by the National Library of Korea. Previous research primarily clustered works based on exact matches between bibliographic record sets. However, this approach often led to the separation of identical works due to differences in notation and other variations. To address this issue, this study applied preprocessing techniques that included Chinese character-to-Korean conversion, reordering of Western names (surname first, then given name), and the removal of author role terms and added titles when extracting author names and titles. Additionally, a network analysis technique was employed to construct separate networks based on author names and titles. The process of identifying the intersection of record sets across these networks was then used to identify works and link related records. As a result, 268,684 works were identified from 453,846 bibliographic records, demonstrating a more refined work identification process compared to exact string matching methods. Nevertheless, some limitations were observed in identifying works due to errors in some bibliographic record inputs, highlighting the need for further research to address these issues. The proposed method is expected to improve the work identification process, thereby improving bibliographic entity identification and, in the long term, contributing to the transformation of bibliographic records into linked data.
Abstract
This study aims to propose institutional strategies for incorporating accessibility standards into the e-book procurement process in libraries to ensure the information access rights of persons with disabilities. To this end, procurement documents from Korean libraries were analyzed, and relevant legislation and practical cases from the United States, Canada, and the European Union were reviewed. The findings indicate that e-book services are composed of a triadic structure— platforms, content, and viewers—which requires an integrated approach to satisfy accessibility standards across all components. Accordingly, the study presents a “Guideline for Accessible E-book Procurement Contracts” to help libraries formally include accessibility clauses in Request for Proposals, Statements of Work, and contracts. It also develops a “Korean Voluntary Product Accessibility Template (K-VPAT)” that enables vendors to self-assess and submit their compliance levels during the procurement process. Furthermore, the study proposes additional technical and operational improvement measures, including the implementation of an e-book accessibility certification system linked to procurement contracts, the standardization and presentation strategies of accessibility metadata, the enhancement of librarians’ expertise, and the establishment of post-evaluation systems based on user feedback. This study contributes to establishing a practical foundation for libraries to realize the information access rights of persons with disabilities by systematically integrating accessibility criteria throughout the entire e-book procurement process.
Abstract
This exploratory study investigates how researchers across various academic disciplines utilize generative artificial intelligence (AI) tools in the scholarly writing process and what factors influence their use. Grounded in the Task-based Information Behavior theory and the CRediT (Contributor Roles Taxonomy) framework, this study employed a structured survey targeting graduate-level and professional researchers. A total of 113 valid responses were collected via an online questionnaire. The results show that approximately 90% of respondents had experience using generative AI tools when writing papers, with the highest usage reported in tasks related to “Writing - Review & Editing”, “Writing - Original Draft Preparation”, and “Conceptualization”. Differences in AI usage patterns were observed across academic fields and career stages in some tasks. Key challenges cited by respondents included concerns over the reliability and subject-matter competence of AI-generated outputs. In order to utilize generative AI responsibly, academic libraries need to provide practical support such as supporting access to paid tools, providing ethical usage guidelines, and curated comparative evaluations of different AI platforms. The purpose of this study is to provide basic data for this.
Abstract
This study aims to establish an automated analysis framework that quantitatively derives and visualizes latent movement path patterns within a public library, using real-time movement data collected through IoT-based camera sensors. To this end, continuous movement data captured by the sensors were structured using an N-gram approach and analyzed using Latent Dirichlet Allocation(LDA) topic modeling. Two term weighting methods— TF-IDF and Word2Vec—were each combined with bigram and trigram models, resulting in four analytical models. Topic distributions from each model were compared, and the structural characteristics of movement flows were visualized. To address the limitation of conventional LDA in capturing directionality and sequential information, the study also proposed an analysis method based on the Topical N-gram technique. The analysis results from each model were integrated using an ensemble approach based on cosine similarity and Jensen-Shannon Divergence (JSD). The experimental results revealed meaningful and repetitive movement patterns that are difficult to detect using simple statistical methods. In particular, key user routes centered around the ‘entrance’ and the ‘ information desk’—both serving as guidance and reference service hubs—were clearly identified. This study is significant in that it presents an integrated analysis framework capable of quantitatively interpreting user behavior based on real-time movement data, offering practical applications for the operation and planning of public services.
Abstract
This study aimed to analyze the evaluation indicators and research topics related to university libraries and suggested directions for improving the current evaluation framework. To achieve this, the study compared the results of topic modeling on university library-related research articles with existing evaluation indicators, and examined how these indicators were reflected in actual academic discourse. A total of 626 articles published between 2001 and 2024 in four major journals in the field of library and information science were collected, and the Latent Dirichlet Allocation (LDA) topic modeling technique was applied to extract key topics. As a result, 17 major topics were identified, including services, librarians, electronic resources, information literacy education, evaluation standards, and technology adoption. Of these, 14 topics aligned with the current evaluation indicators, while two topics—“data” and “technology adoption”—did not correspond to any existing indicators. Conversely, certain evaluation indicators such as education, budget, specialization, and library status had no corresponding research topics. These findings offered meaningful implications for the improvement of evaluation indicators and suggested future research directions in the field of university libraries
Abstract
This study explores the current state and challenges of YouTube audiobook usage by analyzing copyright labeling and user responses to YouTube audiobook contents within the context of digital reading environments. An analysis of metadata and user comments from the 100 most-viewed audiobook videos showed that 45% of the contents did not include proper copyright attribution. Using frequency analysis, keyword network analysis, and user response analysis, analysis on 8,192 user comments showed that words ‘listening’, ‘thank you’, and ‘good’ were mostly used. Based on the results, this study proposes the necessity of audiobook copyright management, along with the development of public library audiobook programs for emotional support and wellness.
Abstract
The FAIR principle, widely recognized as a foundational guideline for research data management, ensures the technical usability of data but has limitations in addressing responsibility and ethical considerations in the processes of data collection and utilization. To overcome these limitations, this study introduces the CARE principle, which emphasizes the rights of data providers and community-based ethical responsibility. Based on the complementary relationship between the FAIR and CARE principles, an integrated research data management governance model is proposed. To this end, international implementation cases of the CARE principle—such as Open Context, Local Contexts, Te Mana Raraunga, and Tribal Research Codes—were examined to derive practical implications applicable to research data management systems. The proposed integrated governance model is meaningful in that it safeguards community rights and autonomy throughout the entire research data lifecycle, including collection, storage, sharing, and reuse, while promoting responsible data use that respects cultural diversity and ethical values.
Abstract
Academic libraries are core institutions that enhance literacy competencies and support research and learning by providing information literacy education. After the emergence of generative AI, literacy education of academic libraries has becoming more important. However, literacy education in Korean academic libraries remains limited to short-term training programs as part of information literacy instruction, lacking standardized curriculum and teaching materials. This study aims to develop a standardized digital literacy lesson plan through academic libraries to strengthen students’ self-directed learning competencies. For this purpose, this study analyzed digital literacy competencies and examined the user education programs from domestic and international university libraries. This study also conducted a survey for students and librarians, and expert consultations were held with professors of library and information science and librarians. As a result, a 15-week standardized lesson plan for digital literacy education in academic libraries was developed. The curriculum includes modules on ‘library use and information search,’ ‘data literacy and generative AI applications,’ and ‘academic writing,’ with a balanced focus on theory and practice. This standardized lesson plan is expected to students’ self-directed learning and academic writing skills, while also enhancing the effective use of academic resources provided by university libraries.
Abstract
The role of teacher-librarians in school is changing with the digital society. Libraries are changing into digital learning centers that support not only reading education but also creative activities linked to the other subject, and perform digital literacy education to solve social problems through collaborative learning activities. This study aimed to develop a digital literacy education framework that should be considered in the context of school libraries in order to support digital literacy education that teacher-litrarians should perform in accordance with the changing role of school libraries. To this end, we analyzed domestic and foreign previous studies and cases related to digital literacy education framework conducted in the context of libraries, and then developed a draft through interviews with teacher-librarians. We also derived examples of educational achievement goals that teacher-librarians can implement for each sub-competency. The derived digital literacy education framework was revised and supplemented through the Delphi method with 10 experts to increase reliability and validity. This study has an implication that it provides a framework for designing instructional procedures and methods where teacher-librarians should consider when conducting education to foster students’ digital literacy.