• Journal of Information Management
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• v.40 no.4
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• pp.109-133
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• 2009

Among biological information, GenBank, provided by the National Center for Biotechnology Information (NCBI)of the United States, is a representative database on genetic information and is the most widely used by researchers around the world. Korea Institute of Science and Technology Information (KISTI) visits NCBI on a regular basis and downloads the latest version of GenBank to reorganize the information gathered there into a database. This database is provided for Korean researchers of science and technology through the Bio-KRISTAL search engine, developed by KISTI. This study aims to design a service model that links information on papers, patents, and biodiversity and other contents of NDSL, an integrated service on scientific and technological information run by KISTI, with GenBank's reference and organism fields and to develop a prototype system. For this purpose, this paper explores the possibility of a linkage and convergence service between heterogeneous content by: (a) collecting GenBank data from NCBI's FTP site; (b) dividing GenBank text files into basic and reference genetic information and restructuring them into a database; (c) extracting article and patent information from the GenBank reference fields to generate new tables; and (d) leveraging data mapping technology to implement a prototype system where GenBank and NDSL data are interlinked and provided.

• Journal of the Korean Society for information Management
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• v.28 no.2
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• pp.11-36
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• 2011

Since the 1990s, informetrics has grown in popularity among information scientists. Today it is a general discipline that comprises all kinds of metrics, including bibliometrics and scientometrics. To illustrate the dynamic progress of this field, this study aims to identify the structure and infrastructure of the informetrics literature using statistical and profiling methods. Informetrics literature was obtained from the Web of Knowledge for the years 2001-2010. The selected articles contain least one of these keywords: informetrics', bibliometrics', scientometrics', webometrics', and citation analysis.' Noteworthy publication patterns of major countries were identified by a statistical method. Intellectual structure analysis shows major research areas, authors, and journals.

• Journal of Korean Library and Information Science Society
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• v.45 no.1
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• pp.149-171
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• 2014

This study makes some suggestions to cluster works from the search result of library databases. Specifically, the author suggests modifying the current practices and rules of KORMARC 24X field based on intent of RDA, which is the new cataloging standard. After identifying some problems in entering bibliographic data into 24X field, the author proposes solutions to such problems. The solutions include improvements in (1) Goanje description (관제기술), (2) use of uniform title, and (3) processing of marks, etc. The study demonstrates that users can conduct a fronted keyword searching effectively and identify the relevant bibliographic records easily from the clustered search results.

• Journal of the Korean Society for information Management
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• v.30 no.1
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• pp.33-50
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• 2013

The purpose of this study was to identify differences between KCI and Naver Scholar as citation analysis tools. Four subcategories in the humanities category were selected as the subject of study. The recall of Naver Scholar was 64%(2,227 times) and the KCI's was 77%(2,665 times). There were some differences in the results at the individual article level or the subcategory level, but the gaps were not significant. Therefore, researchers who analyze citations are urged to use both databases because neither of them are complete, but supplementary to each other.

• Journal of the Korean Society for information Management
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• v.29 no.2
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• pp.7-25
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• 2012

The proliferating use of e-journals has led increasing interest in collecting and analyzing usage statistic information. However, the existing manual method and simple journal usage reports provided by publishers hinder the effective collection of large-scale usage statistics and the comprehensive/in-depth analysis on them. Thus we have proposed a hybrid automatic method of collecting e-journal usage statistics based on screen scraping and SUSHI protocol. In addition, the generation method of summary statistics presented in graphs, charts and tables has been suggested in this study. By utilizing the suggested system and analysis data, librarians can compose various reports on budget or operation of the libraries.

• Journal of the Korean Society for Library and Information Science
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• v.36 no.1
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• pp.61-90
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• 2002

This study intends to evaluate the quality of the KERIS UNICAT DB, and to suggest both theoretical and practical methods for the quality improvement of the DB. To the end. this study developed a quality evaluation model and verified the quality of the UNICAT DB in a comprehensive way, Emphasis was on analyzing the factors causing such inferior and substandard bibliographic records in the UNICAT DB. Also suggested are the management strategies and substantial guidelines to improve the quality of the UNICAT DB.

• Journal of the Korean Society for information Management
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• v.27 no.2
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• pp.117-127
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• 2010

In this study, the author examined medical information management research trends in abroad and Korea from the perspectives of library and information science. LISA was used to collect research data in abroad from 2007 to 2010 (a total of 225 research articles). Korean studies were investigated using DBPIA to compare research trends. Content analysis results based on subject category show that research in abroad increased consistently and electronic resources and collection-related subjects were frequently studied. In Korea, the electronic resources and collection-related research proportion was also high, and much research was done in the areas of bibliometrics. However, medical information management researches did not increase in Korea between 2000 and 2010.

• Journal of the Korean Society for Library and Information Science
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• v.35 no.2
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• pp.5-21
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• 2001

This study is to examine into the research pattern of the domestic library and information science scholars through the bibliometric analysis. It analyzed treatise in SSCI, the model citation index database about the most authoritative social-scientific journals, with various viewpoints, such as authors, subjects, journals, native universities, post universities, years, core of the majoring subjects, major authors and journals. In addition, it analyzed citation factors of another treatise which appeared in SSCI. We foresee it will be useful to indicate the way of study following internationalization.

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.5
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• pp.83-98
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• 2022

As the complexity of social problems and interdependency increased significantly, research on social entrepreneurship(SEship) increased rapidly. In this study, systematic approaches(bibliometrics analysis, citation network analysis, and keyword network analysis) were performed to identify research trends in business administration. To this end, keywords of 883 SEship papers published in prominent journals in the SCOPUS database were collected to investigate the existing research flow. The results of this study can be helpful for grasping the perspective of scholars in the business administration on SEship research and determining research topics through understanding related concepts.

• Journal of Information Management
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• v.39 no.3
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• pp.95-113
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• 2008

In todays environment in which scientific technologies are changing very fast than ever, companies have to monitor and search emerging technologies to gain competitiveness. Actually many nations try to do that. Most of them use Dephi approach based on experts review as a searching method. But experts review has been criticised for probability of inclination and its derivative problems in the sense that it is accomplished only by expert's subjectivity. To overcome such problems, we used Scientometric Method for identifying emerging technology that had been done by Delphi as a rule. We made three particular efforts in order to improve the Quality of the result. Firstly, we selected one alternative database between SCI and Scopus hoping to see evenly-distributing results in wide fields on the front burner. Secondly we used Fractional citation counting in counting citation number in the stage of linear regression analysis. Lastly, we verified Scientometric result with experts opinions to minimize probable errors in a Scientometric research. As a result, we derived 290 emerging technologies from Scientometric analysis with Scopus Database, and visualized them on 2-dimension map with data mining system named KnowledgeMatrix which was developed by KISTI.