• Journal of Information Science Theory and Practice
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• v.11 no.2
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• pp.37-66
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• 2023

Scientometrics and research evaluation describe and analyze research publications when conducting publication, citation, and topic analyses. However, what exactly is a (scientific, academic, scholarly or research) publication? This article demonstrates that there are many problems when it comes to looking in detail at quantitative publication analyses, citation analyses, altmetric analyses, and topic analyses. When is a document a publication and when is it not? We discuss authorship and contribution, formally and informally published documents, as well as documents in between (preprints, research data) and the characteristics of references, citations, and topics. What is a research publication? Is there a commonly accepted criterion for distinguishing between research and non-research? How complete and unbiased are data sources for research publications and sources for altmetrics? What is one research publication? What is the unit of a publication that causes us to count it as "1?" In this regard, we report problems related to multi-author publications and their counting, weighted document types, the unit and weighting of citations and references, the unit of topics, and counting problems-not only at the article and individual researcher level (micro-level), but also at the meso-level (e.g., institutions) and macro-level (e.g., countries). Our results suggest that scientometric counting units are not reliable and clear. Many scientometric and research evaluation studies must therefore be used with the utmost caution.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.20 no.2
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• pp.129-142
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• 2009

This study aims to evaluate research performance of Library and Information Science faculty in Korea. By doing so, this study explores the possibility of enhancing research quality in the field of Library and Information Science. According to a survey to the faculty members, 41 respondents published a total of 49 monographs and 239 journal articles during the five year period from 2003 to 2007. The result shows variations in individual scholars publications. Suggestions were made for the improvement of research performance in terms of quality and quantity.

• Journal of Korean Library and Information Science Society
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• v.24
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• pp.519-557
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• 1996

The purpose of this study is to suggest the strategic development model for the Taegu University Library preparing the 21st century. The results of the study are summarized as follows. 1. Size of collection aim to 697,000 volumes and 1,605 titles until 2000, 975,000 volumes and 3,224 titles until 2005, and 1,185,000 volumes and journals of 6,482 titles until 2010. 2. The library should have 36 professionals until 2000, 53 professionals until 2005, and 69 professionals until 2,010. And library should reorganize 3 departments and 14 sections up to 2,000, 6 departments and 22 sections up to 2,010. After that, the university should grope for a best way to combine the library and the CCC (Computing and Communication Center) into a single unit. 3. In case of space plan, it is necessary that library have to the total area of 31,478m$^{2}$. To find the recommended area, the library must improve the ratio of the net space 50 percent to 75 percent. 4. The model of scholarly information system should be designed to provide a total array of information services to the students and professors, envisioned as typically a user seeking information at a desk and workstation, regardless of format or computing capacity.

• Journal of Korean Library and Information Science Society
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• v.43 no.1
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• pp.287-301
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• 2012

This article analyzes the costs and benefits of the seven individuals centers of Foreign Research Information Center. Results of the investment feasibility analysis based on 30 years time span show that 0.99 of BCR (Benefit-Cost Ratio), 5.49% of IRR (Internal Rate of Return), and -507 million Won of NPV (Net Present Value). Sensibility analysis suggests that BCR can be influenced by the journal usage, social rate of discount, and elimination of the duplicate journal among individual centers.

• Journal of the Korean Society for Library and Information Science
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• v.37 no.4
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• pp.295-310
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• 2003

This study used content analysis to examine research methods and trends of the user study articles from 1991 to 2003. Analysis measured research subjects, research method, data collection methods, data analysis methods, hypotheses. The average yearly papers in the case of scholarly journal - 2.8 pieces. The year published the largest number of papers is 2001. The order of the number of papers information behavior, user study, user interface, user education, OPAC use. Used research methods are literature search and survey research, data analysis methods are $X^2$, correlation and T-test.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.14 no.1
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• pp.5-24
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• 2003

In recent years, electronic technologies are rapidly changing the library's approach to collection management. In digital age, collection is a hybrid, that is, a mix of analog materials and digital information resources. But electronic publications are both a blessing and a curse for libraries. And the rapid acceptance of electronic resources raises many misconceptions and myths about their capabilities. This paper analyzes the digital paradox of current collection management from six standpoints : production of digital informations : digital scholarly communication : digital access paradigm : acceptance of e-journal package web collection development : digital archiving. Nowadays the pragmatic view of library is a logical information gateway to its own services and those of other libraries and information providers. Libraries and librarians need a concept and strategies of the hybrid collection management that reflects digital reality.

• International Journal of Computer Science & Network Security
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• v.22 no.3
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• pp.155-162
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• 2022

Over the last 10 years, there has been rapid growth in the use of Machine Learning (ML) techniques to automate the process of intrusion threat detection at a scale never imagined before. This has prompted researchers, software engineers, and network specialists to rethink the applications of machine ML techniques particularly in the area of cybersecurity. As a result there exists numerous research documentations on the use ML techniques to detect and block cyber-attacks. This article is a systematic review involving the identification of published scholarly articles as found on IEEE Explore and Scopus databases. The articles exclusively related to the use of machine learning in Intrusion Detection Systems (IDS). Methods, concepts, results, and conclusions as found in the texts are analyzed. A description on the process taken in the identification of the research articles included: First, an introduction to the topic which is followed by a methodology section. A table is used to list identified research articles in the form of title, authors, methodology, and key findings.

• Journal of the Korean Society for Library and Information Science
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• v.56 no.3
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• pp.265-290
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• 2022

An economic evaluation was conducted using cost-benefit analysis for an integrated service platform of open access research articles. The data needed for benefit measurement were collected by conducting a series of surveys to service beneficiaries, including 1,313 academic researchers, 49 bio-industry researchers, and 102 researchers in various industries. Cost-benefit analysis and sensitivity analysis were conducted after estimating the total costs for system construction and operations, anticipated direct and indirect benefits. With respect to the cost-benefit analysis limited to direct benefits, the estimated benefit was KRW 82 billion, which is about 14 times of the total costs for eight years of the entire business period. With respect to the cost-benefit analysis for both direct and indirect benefits, BCR was estimated to be about 98.9 and NPV to be KRW 538.8 billion, indicating that economic feasibility of the project was sufficiently secured. The results of this analysis may help securing the investment to the integrated service platform for OA research products, and the benefit estimation model developed in this study would be utilized as an assessment tool during the rest of this project.

• Journal of the Korean Society for information Management
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• v.41 no.2
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• pp.97-130
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• 2024

The current debate in the academic community is on the criteria for predatory journals. Researchers are perplexed about what constitutes a predatory journal. The purpose of this study is to investigate how South Korean researchers discover and evaluate predatory journals. In order to achieve this, we collected 2,484 statements, comprising posts and comments, from Korean researcher communities, namely the Biological Research Information Center (BRIC), Hibrain.net, Phdkim.net, and the Scholarly Ecosystem Against Fake Publication Environment (SAFE). We divided the data into three primary categories-journals, publishers, and researchers-for the topic analysis. For each statement, we assigned 11 in-depth subtopic tags based on these categories. Six main points of contention emerged from the combinations of these sub-topic tags: (1) researchers' confusion about predatory journals and discussions about research performance; (2)(3) researchers' positive and negative perceptions of predatory journals; (4) researchers' evaluation criteria for journal quality and problems associated with the quality of Korean journals; (5) changes in publishing brought about by the introduction of open access (OA) and associated issues; and (6) discussions on broader issues within the academic ecosystem. By using a qualitative approach to examine how South Korean researchers view predatory journals, this study aims to advance basic knowledge of the discourse around them in the communities of domestic researchers.

• Korean Journal of Childcare and Education
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• v.13 no.6
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• pp.43-67
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• 2017

Objective: The purpose of this study was to explore the feasibility to utilize image data recorded and accumulated from CCTV at child care centers. Methods: Literature reviews, consultations and workshops with scholars studying child development, legal professionals, and engineers, focus group interviews with professionals working with young children, and surveys targeting parents, directors and teachers were implemented. Results: It was found the big data from CCTV at child care centers can be used to make policies and implement research as a secondary data set after anonymization. Extracting implicit and useful data from images stored on CCTV is technically feasible. Also, it can be legally guaranteed to analyze the data under the condition of acquiring informed consents. Conclusion/Implications: It was likely to utilize image data from CCTV at child care centers as a secondary data set in order for policy development and scholarly purposes, after overcoming obstacles of the budget for additional infrastructures and consents of information holders.