• Journal of the Korean Society for information Management
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• v.41 no.2
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• pp.295-316
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• 2024

Analyzing research trends is essential for the sustainable development of a discipline and is important for understanding the value of prior research and laying the groundwork for subsequent research. This study aims to draw implications for the future direction of convergence research on the disclosure of information from various disciplines by comparing and analyzing the trends in disclosure of information research in Korea. For this purpose, we analyzed the publication frequency of information disclosure papers listed in the Korea Citation Index (KCI) from 2002 to 2023 and the publication trend by discipline as a time series. In addition, we compared the keyword relationships and specialized research topics of each discipline by applying network analysis and LDA topic modeling techniques to the names and keywords of papers in law, public administration, and library and information science. As a result of the analysis, the law focuses on legal regulations and policy improvement, public administration focuses on changing social needs and administrative operation methods, and LIS focuses on practical approaches to record management and disclosure of information. Based on this, future research directions include combining policy research in law with social change research in public administration and developing realistic policies and operational guidelines from the practical perspective of LIS. Such convergent research will enable the systematic and efficient implementation of disclosure of information systems, contributing to the guarantee of the public's right to know and the enhancement of state transparency.

• The Journal of the Korea Contents Association
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• v.17 no.3
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• pp.596-608
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• 2017

This study was carried out in order to develop and validate the Korean Version of Strengths Scale for individuals with mental illness. The first step taken to develop the scale was to construct sample items for the Strengths Scale using literature research and three focus group interviews of individuals with mental illness. Secondly, two professors of the Social welfare Department of a University and two mental social workers reviewed these sample items to select and compile a final version of the scale. Lastly, the scale's reliability and validity was verified through an empirical study of 478 individuals with mental illness who conduct the survey items. The explanatory factor was that the sample items can be grouped into seven factors. Factor 1 was 'Vocation', Factor 2 was 'Family and Social Support', Factor 3 was 'Optimism', Factor 4 was 'Resources Utilization', Factor 5 was 'Coping Behavior', Factor 6 was 'Leisure', Factor 7 was 'Health'. The Confirmatory analysis showed that the model demonstrated a goodness- of-fit. Finally, the Korean Version of Strengths Scale for individuals with mental illness was developed consisting 40 items and was proposed a mental health social work implications.

• Journal of Digital Convergence
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• v.19 no.10
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• pp.75-86
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• 2021

Recently, the domestic BIPV market is expected to revitalize with the introduction of the "zero-energy building certification system(2020~)", but it is somewhat stagnant due to the rigidity of definitions in the current domestic BIPV construction standards. Also, since there is delaying revision on definition and standardization of BIPV, the system is so weak that there are cases where it has been approved as BIPV simply by installing a structure on the wall and fixing the module roughly. The damage caused by this can be passed on to consumers, and it can only create a negative perception of BIPV and jeopardize the entire market. The BIPV definition was prepared through a Delphi survey of related experts about market stagnant cause, unreasonable regulation, etc, and a revised plan was derived accordingly.

• Journal of Korean Library and Information Science Society
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• v.46 no.1
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• pp.65-81
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• 2015

Altmetircs is the new method to measure social impact of research result which couldn't be found by traditional way, through measuring how much research result is reacting to social media. As academic communication has been diverse and OA repository which can preserve diverse type of article has been activated, New paradigm that measure impact of articles through multifaceted and complex way has been started. This study considers background, status of application, pros and cons about altmetircs. And by using Impactstory which is open source based tool, analyses the research output about digital library of Korea, china and japan which is published in international journal. Besides, analyses correlation between Altmetricss and citation rates. As results, "saved" shows higher than "cited" in library research analysis, it means that even though articles are not cited by followed study, there are a lot of articles that has saved in reference management tool. And positive correlation(r = 0.718) exists between "saved" and "cited", it can be inferred that Altmetricss complement the bibliometrics based evaluation system. Meanwhile, Korean researches are saved more in reference management tool than other countries.

• Proceedings of the Korean Society for Information Management Conference
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• 2017.08a
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• pp.47-51
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• 2017

본 연구는 오픈액세스 개념을 혁신확산이론의 주요 속성을 바탕으로 분석한 것이다. 데이터는 국내학술지 편집담당자를 대상으로 설문조사를 실시하여 수집하였다. 그 결과 국내에서 오픈액세스는 독자가 논문을 편리하고 신속하게 이용할 수 있도록 하는 상대적인 이점을 가지지만, 오픈액세스를 시행하기 위해 구체적인 정책을 세우는 등의 복잡함이 있으며 논문이 많이 인용되거나 학술지의 영향력지수가 상승할 것이라는 기대에 비해 실제로 오픈액세스의 긍정적인 효과를 체감하고 있지 못한 것으로 나타났다. 따라서 국내에서 오픈액세스 정착을 위해 정책과 저작권 분야의 교육 실시가 필요하며 성공사례 공유를 통해 오픈액세스에 대한 긍정적인 인식이 확산될 수 있도록 노력해야할 것이다.

• Journal of the Korean Society for Library and Information Science
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• v.57 no.3
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• pp.325-350
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• 2023

This study focuses on the impact of research data metadata quality evaluation index on the revitalization of K-BDS, a research data platform in the bio field, and examines the mediating effect of motivation factors for utilizing the platform. The investigation employs a structural equation model analysis and bootstrap analysis to explore the interrelationships among the three variables. The findings demonstrate that researchers who prioritize the quality of metadata display higher motivation to use the research data platform, leading to an intention to activate the platform. The study also confirms the mediating effect of motivation factors. Moreover, a comprehensive understanding of the sub-factors within each variable is attained through regression analysis and Sobel test. The results highlight that enhancing searchability is crucial to activate research data sharing in the bio field, while improving discoverability is vital for research data reuse. Interestingly, the study reveals that citationability does not significantly impact platform activation. As a conclusion, to foster platform activation, it is imperative to provide systematic support by enhancing metadata quality. This improvement can not only increase trust in the platform but also institutionally solidify the benefits of citation.

• Journal of Internet Computing and Services
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• v.17 no.5
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• pp.75-87
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• 2016

With the exploration of digital academic information, it is certainly required to develop more effective academic contents recommender system in order to accommodate increasing needs for accessing more personalized academic contents. Considering historical usage data, the academic content recommender system recommends personalized academic contents which corresponds with each user's preference. So, the academic content recommender system effectively increases not only the accessibility but also usability of digital academic contents. In this paper, we propose the new journal recommendation technique based on information of journal subscription and web usage logs in order to properly recommend more personalized academic contents. Our proposed recommendation method predicts user's preference with the institution similarity, the journal similarity and journal importance based on citation relationship data of references and finally compose institute-oriented recommendations. Also, we develop a recommender system prototype. Our developed recommender system efficiently collects usage logs from distributed web sites and processes collected data which are proper to be used in proposed recommender technique. We conduct compare performance analysis between existing recommender techniques. Through the performance analysis, we know that our proposed technique is superior to existing recommender methods.

• Journal of the Korean Society for Library and Information Science
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• v.50 no.3
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• pp.193-214
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• 2016

The aim of this study was to investigate and analyze the changes in inputs and outputs for information-poor in public libraries to eliminate the digital divide. The survey and analysis was utilized indicators for the information-poor shown in library statistics. And through the analysis of statistical indicators, it examined the changing patterns of the elements that each library are inputted to eliminating the digital divide. As a result, it revealed problems such as regression of facilities for the aged and disabled, continuous decrease in the number of special materials for disabled person, and reduction of service users and budget for information-poor. In order to solve this problem and to achieve the desired performance for eliminating the digital divide. it's required the budget increase and strong policies for information-poor.

• Proceedings of the Korea Water Resources Association Conference
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• 2015.05a
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• pp.295-295
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• 2015

강우의 시 공간적 불균형이 심한 우리나라는 수자원 확보 및 관리가 어려움에 따라 신규 수자원 확보와 기존 수자원 관리의 중요성에 대한 인식이 높아지고 있다. 최근 대체수자원으로서 대두되고 있는 지하수는 지표수에 비해 이용지점에서 바로 취수하여 사용이 가능하다는 장점이 있으나, 오염이 진행되면 복구에 상당한 기간과 비용이 소요됨에 따라 철저한 관리가 필요하다. 특히 해안지역 수자원의 경우, 내륙지역에 비해 하천이 발달해 있지 않아 지하수에 대한 높은 의존도에 따른 수량적 문제와 해수와 접해있는 면적이 많음에 따라 지하수와 해수간의 유동으로 인한 수질적 문제로 지하수 관리가 더욱 어렵다. 이에 본 연구는 지하수유동해석프로그램인 Visual MODFLOW의 SEAWAT model을 이용하여 지하수위 변화에 따른 해수침투의 영향을 판단하고자 하였다. 연구지역은 태안지역의 근흥1, 근흥2 관측소의 지하수위 데이터를 사용하였으며, 2008 ~ 2014년 까지 매년 지하수위 변동에 따라 해수침투 영향을 분석하였다. 이와 함께 해수침투 영향 판단 인자인 EC, TDS는 각 관측소 데이터를 통한 환산 및 분석 진행하고, $Cl/HCO_3$ 몰비는 참고문헌을 인용하여 모델링에 의한 해수침투 영향과 관측자료 및 이온분석을 통한 영향을 비교하였다.

• Journal of the Korean Society for information Management
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• v.39 no.1
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• pp.309-330
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• 2022

Intellectual structure analysis, which quantitatively identifies the structure, characteristics, and sub-domains of fields, has rapidly increased in recent years. Analysis techniques traditionally used to conduct intellectual structure analysis research include bibliographic coupling analysis, co-citation analysis, co-occurrence analysis, and author bibliographic coupling analysis. This study proposes a novel intellectual structure analysis method, Keyword Bibliographic Coupling Analysis (KBCA). The Keyword Bibliographic Coupling Analysis (KBCA) is a variation of the author bibliographic coupling analysis, which targets keywords instead of authors. It calculates the number of references shared by two keywords to the degree of coupling between the two keywords. A set of 1,366 articles in the field of 'Open Data' searched in the Web of Science were collected using the proposed KBCA technique. A total of 63 keywords that appeared more than 7 times, extracted from 1,366 article sets, were selected as core keywords in the open data field. The intellectual structure presented by the KBCA technique with 63 key keywords identified the main areas of open government and open science and 10 sub-areas. On the other hand, the intellectual structure network of co-occurrence word analysis was found to be insufficient in the overall structure and detailed domain structure. This result can be considered because the KBCA sufficiently measures the relationship between keywords using the degree of bibliographic coupling.