• Journal of Information Management
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• v.42 no.2
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• pp.85-102
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• 2011

Conventionally, scientific data visualization is thought of as one of activities performed by scientists during the scientific data analysis. However, recently, there exits a set of research papers which count scientific data visualization as a independent research area. They show the research subjects for studying the scientific data visualization technology and methods. In case, a scientist or group of scientists can not solve their own visualization problem due to the unskillfulness and inexperience on using visualization tool. Therefore, it needs to help them by the systematic way for solving the problem. In this study, we analyze and propose the national level scientific visualization support system for scientists. In particular, we first analyze the existing papers and find out the critical success factors. Then, by integrating the findings of the analysis, we propose the research areas which need to be focused, and the strategic direction and specific research topics for scientific data visualization support system in national level.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.4
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• pp.159-172
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• 2023

In general, social problem-solving research aims to create important social value by offering meaningful answers to various social pending issues using scientific technologies. Not surprisingly, however, although numerous and extensive research attempts have been made to alleviate the social problems and issues in nation-wide, we still have many important social challenges and works to be done. In order to facilitate the entire process of the social problem-solving research and maximize its efficacy, it is vital to clearly identify and grasp the important and pressing problems to be focused upon. It is understandable for the problem discovery step to be drastically improved if current social issues can be automatically identified from existing R&D resources such as technical reports and articles. This paper introduces a comprehensive dataset which is essential to build a machine learning model for automatically detecting the social problems and solutions in various national research reports. Initially, we collected a total of 700 research reports regarding social problems and issues. Through intensive annotation process, we built totally 24,022 sentences each of which possesses its own category or label closely related to social problem-solving such as problems, purposes, solutions, effects and so on. Furthermore, we implemented four sentence classification models based on various neural language models and conducted a series of performance experiments using our dataset. As a result of the experiment, the model fine-tuned to the KLUE-BERT pre-trained language model showed the best performance with an accuracy of 75.853% and an F1 score of 63.503%.

• Journal of Information Management
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• v.39 no.4
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• pp.215-240
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• 2008

This paper presents a scientometric analysis of national patterns of research output and priorities in the sub-fields of Hepatitis covered in three bibliographic databases namely MEDLINE, CINAHL and IPA. The literature covered in three databases for the period 1984-2003 was considered. We have already discussed the Trends in the Growth of Literature on Hepatitis in our previous paper. Therefore in this paper only sub-fields analysis is presented. It has been found that the Hepatitis literature output has been grouped in 23 major sub-fields based on databases covered. It was found that there were high priorities for some of the sub-fields of Hepatitis research during 1984-1993. It was found that the research priority profile was more or less homogenous since majority of the sub-fields are showing either below or above average levels of priority profile. In the first phase of the research period covering from 1984-1993, there are high priorities in 10 sub-fields in USA followed by 9 in UK and 8 in Germany, 7 each in Canada, Russia and Netherlands. On the other hand, in the second phase (1994-2003) there are high priorities for 10 sub-fields in Germany, 9 in UK, 8 in USA, 7 each in Canada, Russia and Netherlands. In the productivity of Pediatrics sub-field, India is in the third position.

• Fire Science and Engineering
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• v.33 no.2
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• pp.164-172
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• 2019

This study examined the Post-Traumatic Stress Disorder (PTSD)-related variables of firefighters through a systematic literature review. Electronic databases were searched, including RISS, National Assembly Library, NDSL, KmBase. The search terms were PTSD, Post-Traumatic Stress, Post-Traumatic Stress Disorder and Firefighter. Eleven studies from 146 references screened were included. All studies were non-experimental and correlational analyses. The positive correlation factors were age, duration of work, traumatic events, frequency of mobilization, number and strength of traumatic events experienced, work burden, coping method, D-type personality, depression, and anger rumination. The negative correlation factors were resilience, social support, self-esteem. To improve the mental health of firefighters in the future, professional intervention programs should be constructed to improve resilience, social support, and self-esteem, which are protective factors of PTSD.

• Journal of Information Management
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• v.39 no.3
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• pp.23-48
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• 2008

The purpose of this study is to propose the mandatory and extensible elements of Korea Education Metadata elements for digital course resources universities in Korea. For the study, literature research, case study and interview were performed. The mandatory elements of KEM consisted of sixty nine elements, and were proposed by two phases. Also, based on interview process twelve items were newly recommended to supplement KEM elements.

• Journal of Information Management
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• v.40 no.3
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• pp.99-123
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• 2009

A core point of the KESLI consortium raises the participation score of the joining institute and improves the cohesive force and reliability to cope with prices continued rising of publishers, commonly and gives the actual profit to the joining institute by providing the base able to utilize the academic information with dispersion owning the national institutes. In this study the whole opinion of the consortium joining institute is collected in the future in order to deduce the reasonable and advantageous consortium model in which the consortium joining institute can be commonly applied. The facing task of the KESLI consortium is analyzed through a literature research, a questionnaire survey, a panel discussion and we try to present.

• The Journal of the Korea Contents Association
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• v.20 no.2
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• pp.689-699
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• 2020

The National Science and Technology Information Center (NDSL) database, which provides academic papers at home and abroad, collects, builds, and manages data collected from various sources. In this study, we analyzed the DB paper schema and DB metadata that are currently constructed and managed to derive an integrated DB schema that can manage the high-value-added papers and manage them efficiently by analyzing distributed DB papers. Also, the final academic information data items were determined through comparison and analysis using the Web of Science and SCOPUS schemas that are currently purchased and possessed. The academic information data items constructed and serviced through this study were summarized into seven papers, authors, abstracts, institutions, themes, journals, and references, and defined as core contents under construction. The integrated DB schema was created through this study, and the results of this study will be used as a basis for constructing the integrated DB collection of high quality academic papers and designing the integrated system.

• Journal of Information Management
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• v.42 no.4
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• pp.95-113
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• 2011

The new millennium with mystifying convergence of IT has opened new challenges to LIS profession. This has resulted to continuous skill development and lifelong learning, for capacity building in consonant with contemporary changes. The LIS profession in India has created several mechanisms to organize and conduct several skills development programmes through which professionals are continuously enabled to update their professional knowledge and skills, in practice and teaching. There is a good organizational infrastructure and identified areas related to the recent developmental trends and as such LIS professionals and educators have facilities for updating their knowledge at veritable levels and intervals. The paper has surveyed programmes conducted by different organizations at different levels and highlights the aspects of the organizational infrastructure and the emergent areas of applications in LIS teaching, research and professional practices in India. The selection of areas and subjects for various skill development programmes suggest the competencies acquired by the LIS professionals from India, and the empowerment of their professional knowledge can be of immense value to its neighbouring countries. The paper highlights the knowledge and competencies of the LIS professionals in India and the broad-based facilities available here which can be a model for those countries which are seeking to utilize the LIS human resources from this part of the sub-continent. The paper in this circumstance surveyed on the institutional infrastructure for skill developmental opportunities available in India which would meet such requirements within and to the countries outside in the South Asian region seeking its collaboration in such manpower development work.

• Journal of Information Management
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• v.42 no.3
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• pp.211-233
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• 2011

The purpose of this study is to develop key elements of evaluating research achievements in humanities and social sciences at universities in Korea. Literature reviews and analysis of policies for faculty evaluation in domestic universities were carried to define concepts and types of research achievements. Questionnaire surveys and case studies were performed to find measures, criteria and requirements of research achievements assessment in 26 domestic universities and several foreign universities. As a result, basic principles and key elements of evaluation in research achievements that reflected quantity and quality of research were proposed. The result of this study will stimulate research activities and promote the national research competitiveness with ensuring internal stabilities in universities.

• The KIPS Transactions:PartD
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• v.18D no.6
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• pp.493-500
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• 2011

The trends of technical terms express the changes of particular subjects in a specific research field over time. However, the amount of academic literature and patent data is too large to be analyzed by human resources. In this paper, we propose a method that can detect and analyze the trends of terms by modeling the life cycle of the terms. The proposed method is composed of the following steps. First, the technical terms are extracted from academic literature data, and the TDVs(Term Dominance Values) of terms are computed on a periodic basis. Based on the TDVs, the life cycles of terms are modeled, and technical terms with similar temporal patterns of the life cycles are classified into the same trends class. The experiments shown in this paper is performed by exploiting the NDSL academic literature data maintained by KISTI.