• Child Health Nursing Research
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• 제23권1호
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• pp.28-36
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• 2017

Purpose: This paper is a report on the concept analysis of family-centered care for hospitalized children. Methods: The concept analysis approach of Walker and Avant was used. A search of multidisciplinary literature published between 1960 and 2016 was undertaken using the keyword 'family centered care' or 'family centered nursing' combined with hospitalized children. Attributes, antecedents, and consequences were inductively derived from the citations analyzed (n=19). Results: The attributes of family-centered care included (1) family respect, (2) collaboration, (3) family support, and (4) information sharing. These attributes are influenced by the 'willingness of family to participate', 'competency and willingness of staff,' and 'institution policy and system.' Additionally, family-centered care does significantly impact 'the health of the children', 'family empowerment' and 'work satisfaction and self-confidence of staff'. Conclusion: Family-centered care of hospitalized children as defined by the result of this study will contribute to the theoretical foundation for application in pediatric nursing practice.

• 정보관리연구
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• 제20권1호
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• pp.1-29
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• 1989

계량서지학(計量書誌學)과 그 응용분야(應用分野)는 매우 광범위하다. 본고(本稿)는 첫째로 계량서지학적(計量書誌學的)의 기원 및 정의를 간략히 살펴보고, 둘째로 계량서지학적(計量書誌學的) 연구(硏究)모델과 기본법칙(基本法則)을 분석해 보고, 셋째로 계량서지학적(計量書誌學的) 분석기법(分析技法)을 분석대상(分析對象)데이터별(別)로 고찰해 보고, 마지막으로 량서지학(計量書誌學)의 적용분야(適用分野)를 구명해 봄으로써 계량서지학적(計量書誌學的) 연구(硏究)를 촉진하고자 한다.

• Advances in Energy Research
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• 제6권1호
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• pp.17-33
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• 2019

This study aimed to observe trends in the literature on research, development, and innovation management in the energy sector, using performance assessment systems. The paper presented a bibliometric analysis of 40 studies on the subject. These materials come from ScienceDirect, Scopus and the Institute of Electrical and Electronics Engineers (IEEE) databases from 2006 to 2016. The results showed an increasing trend in the number of publications on the theme, showing the scientific community's interest in the subject. In addition, it was verified that the predominant language used to write the publications was English, the country that most published articles in the area was Brazil and most of the articles were produced through collaboration between researchers. It was found that the journal with the greatest number of publications on the subject was the Procedia - Social and Behavioral Sciences, while the Expert Systems with Applications journal presented the article with the greatest number of citations. This analysis allowed us to identify important points of the research and its future directions, in addition to enabling a better understanding of the world trend of the subject approached.

• 한국콘텐츠학회논문지
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• 제19권11호
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• pp.262-269
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• 2019

학술논문의 말미에 기재하는 참고문헌은 저자가 연구윤리를 준수하고 독자들이 관련 선행연구를 참고할 수 있도록 돕는 정보이자 논문간의 인용과 피인용 관계를 연결시키는 데 유용한 정보이다. 계량서지학이 발전하면서 참고문헌 데이터는 국가, 기관, 개인의 학술 영향력을 평가하는 중요한 데이터로 활용되고 있다. 하지만 참고문헌 형식의 다양성, 학술지명과 저자명 축약 기재로 인한 정보 손실, 저자들의 오타 등으로 인해 참고문헌을 식별하여 연결하는 것은 쉽지 않다. 본 연구에서는 학술논문 참고문헌 데이터를 구축하고 매핑하는 과정에서 발생한 오류 사례를 분석함으로써 참고문헌 데이터 매핑율 제고 방안을 고찰하였다. 연구결과 참고문헌 식별 실패의 주요 원인은 유사 학술지명 식별 문제로 밝혀졌으며 식별과 매핑율 향상을 위한 방안으로 학술지명 전거파일 활용, 논문 DOI 등록율 제고를 제시하였다. 본 연구는 연구 대상 데이터에서 차별성이 있다. 국내에서 주로 구독, 이용, 출판, 인용되는 국내 및 해외 학술지 통합 데이터베이스를 대상으로 참고문헌 매핑을 시도하였다. 참고문헌 구축량 및 매핑율 향상을 통해 해외 인용색인 데이터베이스와는 차별화된 국내 상황을 반영한 인용 분석 및 서비스 기반 데이터베이스로 활용이 가능하다.

• International Journal of Knowledge Content Development & Technology
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• 제10권4호
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• pp.29-46
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• 2020

The paper describes the quantitative and qualitative dimensions of artificial neural networks (ANN) in India in the global context. The study is based on research publications data (8260) as covered in the Scopus database during 1999-2018. ANN research in India registered 24.52% growth, averaged 11.95 citations per paper, and contributed 9.77% share to the global ANN research. ANN research is skewed as the top 10 countries account for 75.15% of global output. India ranks as the third most productive country in the world. The distribution of research by type of ANN networks reveals that Feed Forward Neural Network type accounted for the highest share (10.18% share), followed by Adaptive Weight Neural Network (5.38% share), Feed Backward Neural Network (2.54% share), etc. ANN research applications across subjects were the largest in medical science and environmental science (11.82% and 10.84% share respectively), followed by materials science, energy, chemical engineering and water resources (from 6.36% to 9.12%), etc. The Indian Institute of Technology, Kharagpur and the Indian Institute of Technology, Roorkee lead the country as the most productive organizations (with 289 and 264 papers). Besides, the Indian Institute of Technology, Kanpur (33.04 and 2.76) and Indian Institute of Technology, Madras (24.26 and 2.03) lead the country as the most impactful organizations in terms of citation per paper and relative citation index. P. Samui and T.N. Singh have been the most productive authors and G.P.S.Raghava (86.21 and 7.21) and K.P. Sudheer (84.88 and 7.1) have been the most impactful authors. Neurocomputing, International Journal of Applied Engineering Research and Applied Soft Computing topped the list of most productive journals.

• 한국도서관정보학회지
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• 제53권4호
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• pp.143-162
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• 2022

알트메트릭스는 출판사, 대학, 연구기관, 연구비지원기관 등에서 개인이나 기관의 연구 성과에 대한 사회적 관심을 평가하는 대체적 영향력 평가 지표이다. 본 연구는 국내 문헌정보학 연구자가 국제학술지에 발표한 논문이 국제사회에서 어떠한 관심을 받고 있는지 Altmetric explorer를 활용해 실증 분석하였다. 분석 결과, 알트메트릭스 트래킹(tracking)에 성공한 240편의 평균 AAS(Altmetric Attention Score)는 6.5점으로 나타났다. 분석 대상 논문 중 언론매체에 언급되거나 트윗되면서 170점 이상의 압도적 주목을 받은 논문이 존재하였으나, 높은 AAS는 소수의 논문에만 집중되는 현상이 나타났다. 두 번째, 국내 연구자가 공동연구자로 참여하고 주저자는 해외 기관 소속인 경우와 해외 정부기관이 지원한 논문이 국제사회의 더 많은 주목을 받는 것으로 나타났다. 또한 '정보및컴퓨터과학' 이외에도 '의학및건강과학', '교육학' 등으로 분류된 논문에서 높은 AAS가 나타났으며 이 논문은 의생명 등 다양한 분야의 저널에 수록된 것으로 확인되었다. 마지막으로 분석 대상 논문의 AAS와 피인용 횟수 간에는 r =0.25의 약한 상관성이 존재하였으나 Mendeley 독자수와 피인용 횟수 간에는 r =0.68의 강한 상관성이 존재함을 확인하였다.

• 유통과학연구
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• 제13권4호
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• pp.5-8
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• 2015

Purpose - The purpose of this paper is to review, analyze, and learn from the most recent cases of plagiarism and to identify and promote ethical practices in research and publication. Research design, data, and methodology - This is a case study, an analytical approach, which focuses on analyzing the most recent cases of plagiarism to identify ethical issues and concerns in journal publication practices. Results - Despite the availability of many software and web-based applications and programs to detect plagiarism, there is no universal or perfect plagiarism detection application available to ease the editorial responsibility. Lack of understanding the concept and ignorance of plagiarism were the main reasons for the cases of plagiarism. Conclusions - Some of the plagiarism cases reveal a lack of knowledge in proper application of in-text citations and references, including quoting, requiting, paraphrasing, and citing sources, etc. Furthermore, the need for recognizing and considering the distorted and falsified primary and secondary research data as plagiarism is essential to enhance ethical practices in journal publication.

• 유통과학연구
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• 제15권5호
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• pp.49-52
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• 2017

Purpose - To improve and strengthen existing publication and research ethics, KODISA has identified and presented various cases which have violated publication and research ethics and principles in recent years. The editorial office of KODISA has been providing and continues to provide advice and feedback on publication ethics to researchers during peer review and editorial decision making process. Providing advice and feedback on publication ethics will ensure researchers to have an opportunity to correct their mistakes or make appropriate decisions and avoid any violations in research ethics. The purpose of this paper is to identify different cases of ethical violation in research and inform and educate researchers to avoid any violations in publication and research ethics. Furthermore, this article will demonstrate how KODISA journals identify and penalize ethical violations and strengthens its publication ethics and practices. Research design, data and methodology - This paper examines different types of ethical violation in publication and research ethics. The paper identifies and analyzes all ethical violations in research and combines them into five general categories. Those five general types of ethical violations are thoroughly examined and discussed. Results - Ethical violations of research occur in various forms at regular intervals; in other words, unethical researchers tend to commit different types of ethical violations repeatedly at same time. The five categories of ethical violation in research are as follows: (1) Arbitrary changes or additions in author(s) happen frequently in thesis/dissertation related publications. (2) Self plagiarism, submitting same work or mixture of previous works with or without using proper citations, also occurs frequently, but the most common type of plagiarism is changing the statistical results and using them to present as the results of the empirical analysis; (3) Translation plagiarism, another ethical violation in publication, is difficult to detect but occurs frequently; (4) Fabrication of data or statistical analysis also occurs frequently. KODISA requires authors to submit the results of the empirical analysis of the paper (the output of the statistical program) to prevent this type of ethical violation; (5) Mashup or aggregator plagiarism, submitting a mix of several different works with or without proper citations without alterations, is very difficult to detect, and KODISA journals consider this type of plagiarism as the worst ethical violation. Conclusions - There are some individual cases of ethical violation in research and publication that could not be included in the five categories presented throughout the paper. KODISA and its editorial office should continue to develop, revise, and strengthen their publication ethics, to learn and share different ways to detect any ethical violations in research and publication, to train and educate its editorial members and researchers, and to analyze and share different cases of ethical violations with the scholarly community.

• International journal of advanced smart convergence
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• 제11권4호
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• pp.247-252
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• 2022

The purpose of the domestic physician scientist support program is to promote the development of various biotechnology. Therefore, it can be said that examining whether the purpose of support is being faithfully implemented has an important meaning for the future domestic biotechnology development ecosystem. Therefore, this study limited the subject of analysis to 79 MD-PhD experts who participated or participated in doctor scientist programs at major universities in Korea. Among them, a total of 25 researchers, one researcher from each classroom in parasitology, microbiology, pharmacology, biochemistry, physiology, and anatomy, which had the highest paper citations in the last five years (2016-2021), were selected to examine the relationship between joint research. It was selected as the subject of review. As a result, 25 selected pseudo-scientists(MD-PhD) identified domestic and foreign researchers who participated as co-researchers when publishing in overseas academic journals for the last 5 years(2016-2021), and identified the affiliation and name of the top 5 among them, as well as the pseudo-scientist(MD-PhD), it was possible to identify the relationship of a total of 123 co-researchers(excluding 2 missing values) of the top 5 co-researchers with a high degree of cooperation with respect to the researcher(25 in total), and the collaboration of pseudo-scientists. Relationships, major researchers, and research institutes were examined. Nodexl Basic 2018 ver. (Microsof) was used for the analysis, and the relationship between researchers could be visualized by applying network analysis techniques.

• 한국문헌정보학회지
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• 제57권4호
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• pp.311-331
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• 2023

본 연구는 2018년부터 2022년까지 5년간 국내 문헌정보학 분야의 주요 학술지 4종의 논문을 분석하여 지식 커뮤니케이션 특징을 탐구하고 중요한 연구 주제와 핵심 저자들을 분석하였다. 연구 방법으로 한국학술지인용색인(KCI)에서 국내 문헌정보학 분야의 핵심 학술지 4종의 5년간 발표된 논문을 수집하여 선별하여 논문의 저자 데이터와 참고문헌의 데이터를 추출하였다. Netminer를 사용하여 문헌동시인용 분석과 저자동시인용 분석을 실행하여 네트워크를 시각화하였다. 분석 결과, 저자 간의 동시인용 쌍을 도출할 수 있었으며, 연구자 간의 동시인용빈도 분석을 통해 학문 분야의 지적구조 분석에서 복수 저자를 분석 대상에 포함하는 것이 중요함을 확인하였다. 또한 키워드 분석을 통해 논문 주제 간의 상관성을 확인하였으며, 문헌정보학 관련 연구가 '도서관, 디지털, 이용자, 서비스, 데이터' 주제를 중심으로 이루어지고 있음을 알 수 있었다.