• International Commerce and Information Review
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• v.8 no.1
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• pp.33-50
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• 2006

This research develops, and empirically test a model for explaining/predicting the Determinants and Satisfaction of Portal Cite in Internet Initiation Page. Also this paper describes a theoretical model for investigating the service quality satisfaction in the Internet Initiation Page. This research is the first to empirical test the causal relationships in determinants of Portal Cite. The model of the satisfaction for Portal Cite are tested here using data from 224 samples. Based on the research model, a comprehensive set of hypotheses is formulated and a methodology for testing them is outlined. some of the hypotheses are tested empirically to demonstrate the applicability of the theoretical model. In examining the relationships of the determinants factors, satisfaction show in significantly by Convenience, Information Provided, Entertainments, Interaction but that show in not significantly by the Trustworthiness, In addition, Portal Cite in Internet Initiation Page shows indirect effect between customer satisfaction and referral.

• Journal of the Korean Society for Library and Information Science
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• v.39 no.4
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• pp.89-104
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• 2005

This article identifies an emerging research paradigm and monitors the changes in digital preservation area using CiteSpace, a Java application which supports visual exploration with knowledge discovery in bibliographic databases. 74 articles on digital preservation field covering the time period from 1990-2005 were extracted from Web of Science. According to the result of analysis, core knowledge domains in digital preservation are technical preservation strategies, information network and preservation system, knowledge management and electronic government.

• Journal of Information Management
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• v.42 no.4
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• pp.39-58
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• 2011

This paper presents a meta-tag expanded from scholarly service types of OpenURL written in Key/Encoded-Value format, after analyzing new scholarly service types and DataCite metadata elements which are for research data publishing and services. So far, OpenURL Z39.88 standard, KEVFormat: Sch-Svc, supporting six scholarly service type only, the expansion of this standard is needed for a research data circulation. New eight scholarly service types were extracted, after analyzing and comparing with the Scopus, Web of Science, and NDSL services. And nine representative attributes were extracted, after analyzing intensively the DataCite's elements.

• Proceedings of the Korea Contents Association Conference
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• 2011.05a
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• pp.41-42
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• 2011

DataCite 메타데이터 요소를 분석하여 OpenURL 학술 서비스 유형을 기술하기 위한 메타태그를 Key/Encoded-Value (KEV) 형식으로 확장 제안하였다. 학술 서비스 유형 분석을 위해 Scopus와 Web of Science, NDSL 서비스를 비교 검토하여 8개의 학술서비스 유형을 도출하였다. 또한 과학데이터 기술을 위한 DataCite 컨소시엄의 메타데이터 요소를 집중적으로 분석하여 9개의 대표속성을 도출 하였다.

• Journal of Information Processing Systems
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• v.11 no.1
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• pp.1-21
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• 2015

This paper aims to assess the feasibility of a new and less-focused type of online sociability (the watching network) as a useful information source for personalized recommendations. In this paper, we recommend scientific articles of interests by using the shared interests between target users and their watching connections. Our recommendations are based on one typical social bookmarking system, CiteULike. The watching network-based recommendations, which use a much smaller size of user data, produces suggestions that are as good as the conventional Collaborative Filtering technique. The results demonstrate that the watching network is a useful information source and a feasible foundation for information personalization. Furthermore, the watching network is substitutable for anonymous peers of the Collaborative Filtering recommendations. This study shows the expandability of social network-based recommendations to the new type of online social networks.

• Journal of Information Science Theory and Practice
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• v.1 no.2
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• pp.84-92
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• 2013

In this study, the properties of the object types required to describe the relationship among research data resources, which may be generated during the life cycle of the research, are derived. The properties of Fedora Commons and DSpace, which are open source software used for resource management, and schema properties published in DataCite were analyzed. Based on relation names of Fedora Commons, nine new relation names were derived. Thirty-eight object type properties consolidating the target properties of the analysis were derived. The result of this study can be used as basic material for crosswalk research studies of object type relation terms to ensure interoperability among the systems.

• Journal of the Korean Society for Library and Information Science
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• v.54 no.4
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• pp.169-194
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• 2020

Recently, many academic fields are developing metadata to manage data produced in the field. Metadata to support a specific academic field beyond the general field is considered essential for searching, managing, sharing, and reusing research data in the field. Therefore, in this study, metadata items were derived to manage research data produced in forestry engineering. In order to derive metadata items, mapping work was performed on 7 metadata such as FGDC-CSDGM, ISO 19115, NEFIS, INSPIRE, ANZLIC, DataCite 4.3, and TTA.KO-10.0976. As a result of this study, 6 mandatory, 13 recommendations and 9 optional elements were derived. The derived metadata can be used as an item to systematically manage research data in the field of forestry engineering.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.21 no.4
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• pp.81-93
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• 2010

This study is to suggest a model for preservation and circulation of scientific data as Records. Analysis for national trends in U.S., British, Australia, Europe about scientific data was performed. Foreign advanced programs on management of scientific data were surveyed and analyzed. The analyzed programs were DataCite, WDS, PANGAEA, Dataverse, BSRN, DLESE, GCMD and SEDIS. Common implications were deducted from each program. With the results of analyzing the programs, this study proposed a model for preservation and circulation of scientific data.

• Journal of the Korean Society for information Management
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• v.34 no.1
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• pp.7-29
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• 2017

Data citation remains in its infancy, although providing the citation to a journal article is a typical norm in an academic community. This study examines the need for data citation, its principles and guidelines for improving the issue. In addition, the study investigates cases that established data citation mechanism, including DataCite, Dataverse Network and Data Citation Index that define elements of data citation and provide relevant services. At the end, it explores the current state of data citation in Korea through the analysis of citations to dataset from Korean General Social Survey.

• The Journal of Information Systems
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• v.30 no.1
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• pp.21-44
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• 2021

Purpose The opportunities and approaches to big data have grown in various ways in the digital era. Business analytics is nowadays an inevitable strategy for organizations to earn a competitive advantage in order to survive in the challenged environments. The purpose of this study is to analyze the intellectual structure of business analytics literature to have a better insight for the organizations to the field. Design/methodology/approach This research analyzed with the data extracted from the database Web of Science. Total of 427 documents and 23,760 references are inserted into the analysis program CiteSpace. Author co-citation analysis is used to analyze the intellectual structure of the business analytics. We performed clustering analysis, burst detection and timeline analysis with the data. Findings We identified seven sub- areas of business analytics field. The top four sub-areas are "Big Data Analytics Infrastructure", "Performance Management System", "Interactive Exploration", and "Supply Chain Management". We also identified the top 5 references with the strongest citation bursts including Trkman et al.(2010) and Davenport(2006). Through timeline analysis we interpret the clusters that are expected to be the trend subjects in the future. Lastly, limitation and further research suggestion are discussed as concluding remarks.