ISSN : 1229-2435
This study proposes a new conceptual approach for the sustainable management and organization of university cultural heritage by introducing a data linkage model based on LRMoo. Currently, the management of university heritage faces significant challenges due to inconsistencies in metadata standards among libraries, museums, and archives, which hinder the integration of research outputs and digital resources. By applying the object-oriented model LRMoo, this study explores how various assets—such as research papers, artifacts, and digital archives can be systematically organized and linked to academic research and global networks. The proposed model enables university cultural heritage to transition from passive preservation to active utilization in research and education. In the long term, it is expected to enhance interoperability among data and contribute to establishing a sustainable management system.
This study proposes a method for restructuring the object property model of BIBFRAME 2.5.0 ontology, developed by the Library of Congress, by applying property characteristics defined in the OWL 2 standard. Although BIBFRAME was designed to replace the MARC bibliographic format using RDF, the current ontology lacks systematic assignment of object property characteristics, limiting its semantic accuracy and reasoning capabilities. Accordingly, this study examines the applicability of six OWL 2 property characteristics—FunctionalProperty, SymmetricProperty, TransitiveProperty, AsymmetricProperty, ReflexiveProperty, and IrreflexiveProperty—to the object properties of BIBFRAME. The analysis revealed that some properties required functional constraints, others allowed multiple values, and several relationship properties needed transitive or asymmetric attributes. In particular, transitive and asymmetric characteristics proved essential for expressing complex resource relationships in detailed property groups. Additionally, a comparison of OWL axioms before and after the assignment showed that the total number of axioms increased by 58, including 43 logical axioms, demonstrating an enhancement in structural consistency and reasoning capability. Unlike previous studies focused mainly on structural analysis of BIBFRAME, this study presents a systematic method for enhancing the logical completeness of the ontology. Future research should empirically verify the effectiveness of this approach in bibliographic data transformation and query optimization.
This study aimed to develop a valid measurement tool to quantitatively assess the level of self-management among librarians and to examine the structural relationships among perceived self-management, job satisfaction, and organizational commitment. A survey was conducted with librarians working in public libraries located in Seoul, South Korea, and the collected data were analyzed using Structural Equation Modeling (SEM). The results of the analysis revealed the following: First, self-management among public library librarians had a positive effect on both job commitment and job satisfaction. Additionally, job commitment and job satisfaction had significant positive effects on organizational performance. Notably, job commitment and job satisfaction were identified as key factors in determining organizational performance. Various strategies to enhance these factors hold practical significance, as they can make a substantial contribution to improving organizational outcomes. It can be systematically developed as a training and coaching program for self-management at the organizational level of the library, and established as a key strategy for fostering an autonomous working environment.
This study aimed to investigate and analyze the perceptions and satisfaction of users who participated in book curation programs at Y University Library in Daegu and to propose a plan to activate book curation programs in college libraries. Four types of book curation programs were operated, and all programs showed high participation rates and book borrowing rates among students, contributing to the activation of library use. Based on the result of the study, five strategies were suggested to activate book curation programs in college libraries: 1) developing programs that aim to promote liberal arts in the short term and support major learning in the long term; 2) enhancing librarians’ expertise to improve the quality of book curation selections and to run book curation programs using various reading media.; 3) developing learner-specific book curation programs, especially for adult students and international students; 4) utilizing prizes or rewards that students like in order to increase program participation; 5) jointly operating book curation programs through cooperation among college libraries.
This study aims to examine librarians’ perceptions of Diversity, Equity, and Inclusion (DEI) initiative-related programs in South Korea. To achieve this, the websites of selected public libraries were analyzed and in-depth individual interviews were conducted with 9 public librarians. The analysis revealed that only 5% of all library programs qualified as DEI programs, and most were targeted at a limited range of user groups. Furthermore, these programs were predominantly short-term or one-time events, highlighting limitations in sustainability and diversity. Although librarians recognized DEI as a core value aligned with the mission of public libraries, they faced significant challenges in implementing such programs due to limited funding, staffing shortages, and lack of institutional support. The study identifies the need for strengthened policy support, inter-organizational collaboration, and comprehensive outreach strategies to enhance the effectiveness of DEI programs. As an exploratory study of DEI awareness in Korean public libraries—still in its early stages—this research provides a foundational basis for future studies and practical advancements in DEI-related library services.
The purpose of this study is to explore the perceptions of the roles of teacher librarians in specialized high schools based on their job experiences. In-depth interviews were conducted with eight teacher librarians. The findings are as follows. First, participants perceived their role as information specialists with subject expertise. Second, their role as teachers encompassed instructional activities and emotional support for students. Third, as program administrators, they managed school library spaces, supervised student volunteers, and promoted library programs. Fourth, job experiences as cooperative leaders involved collaboration in instruction, participation in professional learning communities, and engagement in local community. Lastly, the school community perceived teacher librarians mainly as information specialists and program administrators, with a lack of perception of their roles as teachers and instruction partner. This study provided rich descriptions of the job experience and proposed implications for expanding the roles and enhancing the professionalism of teacher librarians in specialized high schools.
Assessing the credibility of online health information has become increasingly complex as the volume of user-generated content (UGC) increases. This study investigates the predictive modeling of credibility in two distinct types of UGC platforms—Yahoo! Answers and Yelp—by exploring the impact of feature categories and the role of assessors’ prior knowledge. A total of 2,000 labeled instances were collected through crowdsourcing, using a rigorously validated credibility instrument and qualification process. Eighty-four features were developed and grouped into categories informed by the Elaboration Likelihood Model (ELM), and feature ablation studies were conducted independently on both datasets. Results indicate that content informativeness was the most discriminative factor for Yahoo! Answers, while sentiment and content informativeness were significant for Yelp. Interestingly, prior knowledge had a platform-dependent effect: it reduced model performance in Yahoo! Answers, likely due to overconfidence and limited domain expertise, but improved performance in Yelp, where lived experience aligned with subjective content. These findings emphasize the importance of tailoring credibility assessments and feature sets to the type of platform and the nature of the content.
The aim of this study is to classify the work contents of school library, as derived from international and national school library standards, and to examine the roles of teacher librarians according to these classifications. The roles of teacher librarians are categorized based on ALA’s Information Power, which defines them as teacher, instructional partner, information specialist, and program administrator. To understand the scope of school library’s work, five international school library standards and eight foreign school library standards (e.g., from the United States and the United Kingdom) were selected for analysis. A survey was then administered to 15 experienced teacher librarians to classify essential work contents for each of the defined roles. The findings indicate that the role of information specialist is consistently central to the teacher librarian’s responsibilities. Furthermore, the roles of teacher, instructional partner, and program administrator are adopted situationally, depending on the specific time, relationships, and content of the school library’s educational activities. While leader, as highlighted by AASL (2009), is an integral aspect of the teacher librarian’s overall responsibilities, it is considered an intrinsic characteristic underlying the four primary roles identified by ALA (1998).
This study proposes a modular design framework for records management metadata aimed at ensuring the long-term preservation and reuse of research data, with particular attention to the distinct characteristics of different research domains. Existing metadata frameworks have primarily been developed with a focus on the science and technology fields, often failing to adequately reflect the unique requirements of research in the humanities and social sciences. To address this limitation, this study analyzed research reports and data management guidelines from four representative institutions across these domains. By comparing common elements with field-specific components, the study identified key differences in approaches to ensuring research reproducibility. The analysis employed six criteria—data type, documentation of research conditions, tools and software, research procedures, mandated requirements, and preservation and accessibility measures—drawn from existing metadata standards and prior studies. Based on this, a modular metadata element system was developed, allowing for selective expansion of field-specific elements while maintaining a common core structure. This flexible design accommodates the diversity of research data and varying reproducibility requirements. Through a pilot case analysis, the study demonstrates the versatility and scalability of the proposed framework, offering a foundation for future research across diverse disciplines and data types.