• The Journal of Information Systems
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• v.29 no.1
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• pp.159-179
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• 2020

Purpose: We present a scientometric review of the literature on platform government to serve three primary purposes: First, to cluster researches on platform government based on the research issues; second, to identify the major papers, authors, and keywords in the domain; and third, to explore the promising research areas of platform government. Design/methodology/approach: We collected the platform government research from Web of Science, and analyzed 1,536 articles that was published during time span of 1998-2019. Next, co-citation networks are constructed and analyzed by using CiteSpace to visualize the domain clusters and dynamic research trends in the platform government domain. Findings: We identified 13 sub areas of the platform government research: global investigation, consumer product quality, digital agora, civic crowd funding, and open data use etc. We also visualize the top 20 references with the strongest citation bursts, co-authors network, co-occurring keyword network, and timeline of co-citation clusters.

• Journal of Smart Tourism
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• v.1 no.4
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• pp.19-30
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• 2021

Smart tourism and associated topics have been extensively discussed by scholars around the world. The goal of this study is to make available an all-inclusive database-based analysis of the longitude status of research on smart tourism. Three databases, Web of Science (WoS), Science Direct and China Knowledge Network (CNKI), were utilized to gather papers published from 2011 to 2020. The data results were analyzed and results were generated using CiteSpace. The results of Chinese and English papers were evaluated to form the conclusion of this study. The implication formed the prediction of future research trends and development suggestions.

• Genomics & Informatics
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• v.20 no.1
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• pp.10.1-10.15
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• 2022

Human exposure to pollutants has been on the rise. Thus, researchers have been focused on understanding the effect of these compounds on human health, especially on the genetic information by using various tests, among them the somatic mutation and recombination tests (SMARTs). It is a sensitive and accurate method applicable to genotoxicity analysis. Here, a comprehensive bibliometric analysis of SMART assays in genotoxicity studies was performed to assess publication trends of this field. Data were extracted from the Web of Science database and analyzed by the bibliometric tools HistCite, Biblioshiny (RStudio), VOSViewer, and CiteSpace. Results have shown an increase in the last 10 years in terms of publication. A total of 392 records were published in 96 sources mainly from Brazil, Spain, and Turkey. Research collaboration networks between countries and authors were performed. Based on document co-citation, five large research clusters were identified and analyzed. The youngest research frontier emphasized on nanoparticles. With this study, how research trends evolve over years was demonstrated. Thus, international collaboration could be enhanced, and a promising field could be developed.

• Journal of Smart Tourism
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• v.1 no.2
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• pp.3-12
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• 2021

The interaction between technology and tourism has been a dynamic research area recently. This study aims to review the progress and development of technology in tourism research via a bibliometric analysis. We derive the source data from the Web of Science (WoS) core collection and use CiteSpace for bibliometric analysis, including countries, institutions, authors, categories, references, and keywords. The analysis results are as follows: i) The number of published articles on the role of technology in tourism has increased in recent years. ii) Technology-related articles in tourism are abundant in Tourism Management, Journal of Travel Research, and Annals of Tourism Research. iii) The countries with the most contributions are China, the US, and the UK. The most active institutions are the Hong Kong Polytechnic University, University of Central Florida, Bournemouth University, University of Queensland, and Kyung Hee University. iv) The reference analysis results identify eight extensively researched topics from the most cited papers, and the keyword burst analysis results present an emerging trend. This study identifies the effect and development of technology in tourism research. Our findings provide implications for researchers about the current research focus of technology and the future research trend of technology in the tourism field.

• Journal of Korean Library and Information Science Society
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• v.53 no.3
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• pp.241-262
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• 2022

The purpose of this study was to designed the structure and elements of metadata that can manage and share research data produced in the food composition database. In order to derive metadata elements, mapping crosswalk was performed on 5 metadata such as DCAT, DataCite metadata schema 4.4, TTAK.KO-10.0976, AgMES, and FoodData Central. As a result of the study, the top 15 elements of the 'Resource information' metadata were derived, and 7 mendatory, 3 recommended and 5 optional elements, and the 'Composition analysis' metadata included 8 mendatory, 3 recommended and 1 optional element were derived to describe food composition research data, respectively. The derived metadata elements will be used as an item for systematic management of food composition data and can be used as basic data for sharing with domestic and international food composition databases.

• Journal of the Korean Society for Library and Information Science
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• v.53 no.2
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• pp.223-246
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• 2019

This research makes the metadata element design for Korean medicine research data management and re-use. Derived metadata elements are verified in research data of Korea Institute of Oriental Medicine. TTAK.K0-10.0976 Standard, DataCite metadata Schema and National Research Data Platform of KISTI were analyzed to derive the metadata elements. Including Identifier, 27 elements were derived as top-level elements with 29 mandatory elements, 13 recommended elements and 31 optional elements. The degree of elements' necessity and new metadata elements were investigated and suggested in the survey by six domain experts in korean medicine field. In this study subject classification for the korean medicine research data are suggested. The final version of metadata schema was tested and verified by comparing with the legacy metadata fields. The research results can be used to describe the Korean medicine research data: items and files.

• Journal of Information Management
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• v.42 no.3
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• pp.147-165
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• 2011

This paper presents a core meta-tag of OpenURL written in Key/Encoded-Value format in the field of observation research, to distribute the scientific data, produced in many experimentations and observations, on the OpenURL service architecture. So far, the OpenURL hasn't supplied a meta-tag represented scientific data because it has focused on circulation of scholarly and technological information extracted from thesis, proceedings, journals, literatures, etc. The DataCite consortium metadata were analyzed and compared with the Dublin Core metadata, OECD metadata, and Directory Interchange Format metadata to develop a core meta-tag in observation research.

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.6
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• pp.127-140
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• 2022

With the recent development of the ICT (information and communication technology), the revolution of the industry has moved on from the third industry to the fourth. There is no doubt that the companies would not survive in the future without adopting these technologies. The purpose of this research is to analyze the intellectual structure of the internet of things(IoT) literature for the Industry 4.0 to suggest a better insight for the field. The data for this research is extracted from the Web of Science database. Total of 1,631 documents and 72,754 references are used for the research with the analysis program CiteSpace. Author co-citation analysis is used to analyze the intellectual structure and performed clustering, timeline and burst detection analysis. We identified 12 sub-areas of IoT for the Industry 4.0 which are 'Supply Chain', 'Digital Twin', 'Smart Manufacturing System' and etc. Through the timeline analysis we can find out which clusters will increase or decrease its reputation. As concluding remarks, limitations and further research suggestions are discussed.

• Journal of Dental Anesthesia and Pain Medicine
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• v.22 no.4
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• pp.255-266
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• 2022

Background: A previous study reported the effectiveness and patient satisfaction in the dental emergency unit (DEU) of the Pitie Salpetrière Hospital in Paris before coronavirus disease 2019 (COVID-19). The same methodology was used during the COVID-19 pandemic to compare pain, anxiety, and patient satisfaction during the two periods. Methods: This prospective study was conducted in 2020 (NCT04354272) on adult patients. Data were collected on day zero (D0) on site and then by phone during the daytime on day one (D1), day three (D3), and day seven (D7). The primary objective was to assess the pain intensity at D1. Secondary objectives were to assess pain intensity at D3 and D7, anxiety intensity at D1, D3, and D7, and patient satisfaction. Patients were evaluated on a 0-10 numeric scale on D1, D3, and D7; mean scores were compared with non-parametric statistics (ANOVA, Dunn's). Results: A total of 445 patients were given the opportunity to participate in the study, and 370 patients consented. Seventy-one were lost during follow-up. Ultimately, 299 patients completed all the questionnaires and were included in the analysis. In the final sample (60% men, 40% women, aged 39 ± 14 years), 94% had health insurance. The mean pain scores were: D0, 6.1 ± 0.14; D1, 3.29 ± 0.16; D3, 2.08 ± 0.16; and D7, 1.07 ± 0.35. This indicates a significant decrease of 46%, 67%, and 82% at D1, D3, and D7, respectively, when compared to D0 (P < 0.0001). The mean anxiety scores were D0, 4.7 ± 0.19; D1, 2.6 ± 0.16; D3, 1.9 ± 0.61; and D7, 1.4 ± 0.15. This decrease was significant between D0 and D7 (ANOVA, P < 0.001). Perception of general health improved between D1 and D7. The overall satisfaction was 9.3 ± 0.06. Conclusion: DEU enabled a significant reduction in pain and anxiety with high overall satisfaction during COVID-19, which was very similar to levels observed pre-COVID-19 pandemic.

• Journal of the Korean Society for information Management
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• v.28 no.2
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• pp.79-96
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• 2011

Despite the widespread use, critics claim that citation analysis has serious limitations in evaluating the research performance of scholars. First, conventional citation analysis methods yield one-dimensional and sometimes misleading evaluation as a result of not taking into account differences in citation quality, not filtering out citation noise such as self-citations, and not considering non-numeric aspects of citations such as language, culture, and time. Second, the citation database coverage of today is disjoint and incomplete, which can result in conflicting quality assessment outcomes across different data sources. This paper discuss the findings from a citation analysis study that measured the impact of scholarly publications based on the data mined from Web of Science, Scopus, and Google Scholar, and briefly describes a work-in-progress prototype system called CiteSearch, which is designed to overcome the weaknesses of existing citation analysis methods with a robust citation-based quality assessment approach.