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  • P-ISSN1013-0799
  • E-ISSN2586-2073

Vol.38 No.4

Jongwook Lee ; Woojin Kang ; Jungkyu Park pp.1-23 https://doi.org/10.3743/KOSIM.2021.38.4.001
초록보기
Abstract

The purpose of this study is to analyze the effects of the bestseller ranks on the book circulations in public libraries. To achieve this goal, the weekly data sets of 179 books’ library circulation and bestseller list from January 1, 2018 to December 29, 2019 were constructed based on the data collected from BigData MarketC and YES24. Three methods for analyzing panel data including linear regression, fixed-effect, and random effect models were compared, and it turned out that fixed-effect model was better than other methods. The results show that the average ranks of bestsellers were associated with their public library circulations visually. Also, the analysis of fixed-effect model showed that the single rank decline of a book on the bestseller list decreases its average circulation of 0.108 while the size of effect varied depending on subject of books. The study empirically demonstrated the impact of a bestseller list on people’s book circulation behavior, suggesting that public libraries need to reference sociocultural context as well as bestseller book lists to predict library user needs and to formulate collection development policy.

Bo il Kim ; Hong Ryul Kim pp.25-46 https://doi.org/10.3743/KOSIM.2021.38.4.025
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Abstract

This study proposed the improvement in the evaluation systems and indicators of small libraries, by analyzing the evaluation indicators of the current small libraries, domestic and foreign ones and domestic other institutions, and gathering opinions from managers of them and experts belonging to related groups, in order to enhance the management quality of small libraries and strengthen the independence of them, based on the evaluation on the activation and substantiality of them. The evaluation systems proposed by this study is divided into Track 1 evaluating small libraries and Track 2 evaluating local governments. The evaluation indicators of small libraries was simplified by eliminating the indicators found from the statistics of Track 1 (small libraries). Track 1 consists of three evaluation areas in regard to the management of small libraries, such as library management, infrastructures and services, 8 evaluation items, 10 evaluation indicators, quantitative (a total of 100 points) and qualitative (a total of 120 points) evaluation. Track 2 consists of 2 evaluation areas in regard to the establishment and enforcement of small library policies and the support for small libraries, such as library management and infrastructures, 4 evaluation items, 5 evaluation indicators and quantitative evaluation (a total of 100 points).

초록보기
Abstract

This study statistically examined the factors (individual factors, family factors, high school factors, college factors, and social factors) that affect the choice of the major by surveying with students who have entered the library and information science departments of colleges in Korea. The results were as follows. First, it was confirmed that individual factors and social factors had significant effects on the choice of the library and information science major in college. Second, it was found that individual factors had a greater influence on the choice of the library and information science major than social factors do. Third, individual factors had significant positive(+) effects on the choice of the library and information science major at colleges, whereas it was verified that social factors had significant negative(-) effects on the choice of the library and information science major at colleges. The findings of this study can be used as useful basic data for library and information science departments of colleges in Korea to prepare for a decrease in the number of college entrants in the coming years.

Hyoungjoo Park(Chungnam National University) ; Dietmar Wolfram(University of Wisconsin-Milwaukee) pp.65-82 https://doi.org/10.3743/KOSIM.2021.38.4.065
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Abstract

The purpose of this research is to explore the phenomenon of the sharing, reuse, and citation of research software. These practices are playing an increasingly important role in scholarly communication. The researchers found that the citation and reuse of research software are currently uncommon or at least not reflected in the Data Citation Index (DCI). Such citation was observed, however, for the newer software in a number of prominent repositories. The repositories Comprehensive R Archive Network (CRAN) and Zenodo received the most formal software citations. The researchers observed both formal and informal forms of citation when researchers reused software. The latter form involves mentioning research software in passing in the main text of articles, while formal citations appear in the references section. In addition, our comparative analysis helps to explain the phenomenon of self-citation of research software.

Chohae Kim(Yonsei University) ; Giyeong Kim(Yonsei University) pp.83-112 https://doi.org/10.3743/KOSIM.2021.38.4.083
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Abstract

This study aims to examine how the specialty of librarians links between users’ library experience and their resulting perception of the library in public libraries. After reviewing theoretical background studies, a questionnaire survey was conducted at six public libraries in Seoul and Gyeonggi Province. The analysis of the survey results showed that the perception of librarians’ specialty had a mediation effect on the relationship between cultural, educational activity and library perception. However, information activity was not linked by the perception of librarians’ specialty and only directly influenced on the library perception. Accordingly, the result raised a question of a discrepancy between the areas where the users gain the value of the library and where the librarians’ specialty is perceived and some implications were suggested. This research is meaningful in integrating the users’ library experience, librarians’ specialty, and the library performance by external point of view on the specialty, traditionally regarded as an internal characteristic of the librarianship.

Woojin Jung ; Kyuli Kim ; Seunghee Yoo ; Yongjun Zhu pp.113-128 https://doi.org/10.3743/KOSIM.2021.38.4.113
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Abstract

In this study, we aimed to understand the public opinion on COVID-19 vaccine. To achieve the goal, we analyzed COVID-19 vaccine-related Twitter posts. 45,413 tweets posted from March 16, 2020 to March 15, 2021 including COVID-19 vaccine names as keywords were collected. The 12 vaccine names used for data collection included ‘Pfizer’, ‘AstraZeneca’, ‘Modena’, ‘Jansen’, ‘NovaVax’, ‘Sinopharm’, ‘SinoVac’, ‘Sputnik V’, ‘Bharat’, ‘KhanSino’, ‘Chumakov’, and ‘VECTOR’ in the order of the number of collected posts. The collected posts were analyzed manually and automatedly through keyword analysis, sentiment analysis, and topic modeling to understand the opinions for the investigated vaccines. According to the results, there were generally more negative posts about vaccines than positive posts. Anxiety about the aftereffects of vaccination and distrust in the efficacy of vaccines were identified as major negative factors for vaccines. On the contrary, the anticipation for the suppression of the spread of coronavirus following vaccination was identified as a positive social factor for vaccines. Different from previous studies that investigated opinions about COVID-19 vaccines through mass media data such as news articles, this study explores opinions of social media users using keyword analysis, sentiment analysis, and topic modeling. In addition, the results of this study can be used by governmental institutions for making policies to promote vaccination reflecting the social atmosphere.

Wookyoung Jeong ; Donghee Shin pp.129-152 https://doi.org/10.3743/KOSIM.2021.38.4.129
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Abstract

This study proposed a plan to develop wearable devices suitable for female college students by analyzing female college students’ perceptions and preferences for wearable devices and their needs for health care using topic modeling and network analysis techniques. To this end, 2,457 posts related to health care and wearable devices were collected from the community used by S Women’s University students. After preprocessing the collected posts and comment data, LDA-based topic modeling was performed. Through topic modeling techniques, major issues of female college students related to health care and wearable devices are derived, and bi-gram analysis and network analysis are performed on posts containing related keywords to understand female college students’ views on wearable devices.

Jin Ho Park(Hansung University) pp.153-171 https://doi.org/10.3743/KOSIM.2021.38.4.153
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Abstract

This study suggested a method of utilizing METS based on DDI metadata to manage, preserve, and service datasets. DDI is a standard for statistical data processing, and there are currently two versions of DDI Codebook (DDI-C) and DDI Lifecycle (DDI-L). In this study, the main elements of DDI-C were mainly used. First the structures and elements of METS and DDI-C were first analyzed. And the mapping of the major elements of METS and DDI-C. The standard was finally taken as METS, the format to express it. Since METS and DDI-C do not show a perfect 1:1 mapping, the DDI-C element that best matches each element of the standard METS was selected. As a result, a new dataset management transmission standard METS using DDI-C metadata elements was designed and presented.

Hyun Soo Chae(Yonsei University) ; Jung Hyun Chun(Yonsei University) ; Giyeong Kim(Yonsei University) ; Jee Yeon Lee(Yonsei University) pp.173-198 https://doi.org/10.3743/KOSIM.2021.38.4.173
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Abstract

The study aims to understand university constituents’ perceptions and experiences of research data management and sharing then explore the critical factors for establishing effective research data management plans. The literature review enabled summarization of the significant issues regarding research data management and sharing. In addition, the follow-up survey revealed the university constituents’ perceptions and experiences about research data management and sharing. This study has significance because it laid the foundation for long-term research data management policies and services development.

Ji Won Bak(Chonnam National University) ; Woo Kwon Chang(Chonnam National University) pp.199-230 https://doi.org/10.3743/KOSIM.2021.38.4.199
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Abstract

This study is to present an analysis and activation plan for the effect of reuse of research data through investigation of researchers and reuse data on reuse of research data. To this end, 178 copies were analyzed based on the distribution and collection of surveys targeting academic researchers in the field of social science in Korea who have experience in calculating new research results by reusing research data. As a result, 1) Most researchers acquire reuse data through systems such as data repositories, data management systems, and research data DBs, and mainly reuse analysis data produced through experiments and observations. In addition, despite being a researcher who successfully reused research data, the awareness of research data sharing was low and did not share it in the face of various problems. 2) The reliability and validity of 10 factors derived through literature review and factor analysis (academic usefulness, research efficiency, researcher concerns, data vulnerability, direct effort, indirect effort, suitability for reuse, data completeness, data usefulness, and social conditions) were verified. 3) As a result of correlation analysis, research efficiency, social conditions showed a quantitative correlation with research data reuse intention, researcher concerns, data vulnerability, and direct effort showed a negative correlation with research data reuse intention. As a result of regression analysis, all of these factors had a significant effect on the intention to reuse research data, and in the order of research efficiency, social conditions, direct efforts, researchers’ concerns, and data vulnerability. Based on this, a plan to revitalize the reuse of research data was proposed.

JungWon Yoon(Jeonbuk National University) pp.231-250 https://doi.org/10.3743/KOSIM.2021.38.4.231
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Abstract

Despite the increasing number of international students in Korea, there is a lack of research on the health information-seeking behavior of international students. This study examined the health information search behavior of international students in Korea through a questionnaires and in-depth interviews adopting Critical Incident Technique. Most frequent health information needs that the participants experienced were related to Covid-19 and locating doctors/hospitals. The difficulties in seeking health information were language barriers, lack of knowledge of the Korean medical system, insufficient or overflowing information on the Internet. However, despite the language barrier, international students mainly used Korean sources (friends/family, websites, social media) for searching health information. In order to search health information on Korean websites, they used Google Translator or got help from bilingual friends/family members. The participants who have lived in Korea for a shorter period of time or who have lower Korean language proficiency tend to obtain health information through the community on social networks; whereas the longer the period of residence in Korea and the better the Korean language proficiency, the more likely to use websites. Only 28% of the participants gave positive answers to the question asking their confidence in finding the health information they needed. It is discussed how to help international students find accurate and credible health information.

Journal of the Korean Society for Information Management