• 제목/요약/키워드: University researchers

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KODISA 연구윤리의 표절 판단기준과 글로벌 학술지 가이드라인 (The Standard of Judgement on Plagiarism in Research Ethics and the Guideline of Global Journals for KODISA)

  • 황희중;김동호;윤명길;이정완;이종호
    • 유통과학연구
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    • 제12권6호
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    • pp.15-20
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    • 2014
  • Purpose - In general, researchers try to abide by the code of research ethics, but many of them are not fully aware of plagiarism, unintentionally committing the research misconduct when they write a research paper. This research aims to introduce researchers a clear and easy guideline at a conference, which helps researchers avoid accidental plagiarism by addressing the issue. This research is expected to contribute building a climate and encouraging creative research among scholars. Research design, data, methodology & Results - Plagiarism is considered a sort of research misconduct along with fabrication and falsification. It is defined as an improper usage of another author's ideas, language, process, or results without giving appropriate credit. Plagiarism has nothing to do with examining the truth or accessing value of research data, process, or results. Plagiarism is determined based on whether a research corresponds to widely-used research ethics, containing proper citations. Within academia, plagiarism goes beyond the legal boundary, encompassing any kind of intentional wrongful appropriation of a research, which was created by another researchers. In summary, the definition of plagiarism is to steal other people's creative idea, research model, hypotheses, methods, definition, variables, images, tables and graphs, and use them without reasonable attribution to their true sources. There are various types of plagiarism. Some people assort plagiarism into idea plagiarism, text plagiarism, mosaic plagiarism, and idea distortion. Others view that plagiarism includes uncredited usage of another person's work without appropriate citations, self-plagiarism (using a part of a researcher's own previous research without proper citations), duplicate publication (publishing a researcher's own previous work with a different title), unethical citation (using quoted parts of another person's research without proper citations as if the parts are being cited by the current author). When an author wants to cite a part that was previously drawn from another source the author is supposed to reveal that the part is re-cited. If it is hard to state all the sources the author is allowed to mention the original source only. Today, various disciplines are developing their own measures to address these plagiarism issues, especially duplicate publications, by requiring researchers to clearly reveal true sources when they refer to any other research. Conclusions - Research misconducts including plagiarism have broad and unclear boundaries which allow ambiguous definitions and diverse interpretations. It seems difficult for researchers to have clear understandings of ways to avoid plagiarism and how to cite other's works properly. However, if guidelines are developed to detect and avoid plagiarism considering characteristics of each discipline (For example, social science and natural sciences might be able to have different standards on plagiarism.) and shared among researchers they will likely have a consensus and understanding regarding the issue. Particularly, since duplicate publications has frequently appeared more than plagiarism, academic institutions will need to provide pre-warning and screening in evaluation processes in order to reduce mistakes of researchers and to prevent duplicate publications. What is critical for researchers is to clearly reveal the true sources based on the common citation rules and to only borrow necessary amounts of others' research.

한국의 관학 대기과학 연구 발전을 위한 미국 협동연구 사례 분석 - 콜로라도대학 환경과학협동연구소를 중심으로 (A Study of Public-Academia Cooperative Research in the USA for Improvement of Atmospheric Research in Korea: Based on the CIRES Case)

  • 송병현
    • 대기
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    • 제23권3호
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    • pp.357-365
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    • 2013
  • A public-academia cooperative research system is suggested to improve the level of national research on atmospheric science and to enable the National Institute of Meteorological Research (NIMR) to meet its overloaded demand for research and results. As a practical example of cooperative research the CIRES case was reviewed. CIRES, the Cooperative Institute for Research in Environmental Sciences, located at the University of Colorado Boulder, is one of NOAA's 18 cooperative research centers located at universities across the U.S. NOAA, the National Oceanic and Atmospheric Administration, as a part of government, gives clear guideline for research topics and supplies research funds to research centers and audits their research processes and accomplishments. NOAA Boulder Laboratories, as a large, well-established government research center managed by government scientists, supplies depth of experiences and major research infra-structure to CIRES. CIRES pursues innovative and challenging research with their younger and brand-new researchers who are university employees. This cooperative work between government research organizations and the university produces high level research efficiently. Not only does Boulder have a beautiful natural setting where researchers live and work but also the city is a home to many scientific agencies and research facilities. This robust scientific network provides rich opportunities for CIRES researchers to collaborate with others in their scientific fields.

Identification of Authors and ethics of Research based on KODISA Case

  • ZHANG, Fan;SU, Shuai;YOUN, Myoung-KIl
    • 연구윤리
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    • 제1권2호
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    • pp.11-13
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    • 2020
  • Purpose: The author wants to specify scope of research, identify without giving burden, prevent unfair identification of the author, admit of production of the outcome, enact rules of identification, and build up foundation of development. Also, this study defines scope of publication of outcome of research to prevent unfair identification of authors and admit of them. Research design, data and methodology: The study described literary research, standard research, phenomenon research, and empirical result without methodologies, statistical analysis and scientific test and investigated operation system of KODISA cases. Results: At publication of findings of the research, researchers shall identify the ones of production of the finding to allocate help of the research. Conclusions: Scientific journals shall be controlled to develop ability and to grow up and have a system. Researchers shall give direction of other scientific journals. The study made efforts to be a model. KODISA Edition Team shall make an effort to keep and develop. So far, no regulation of identification of authors has produced disturbance so terminologies should be uniformed. Researchers shall keep rules of identification of authors to uniform and regulate identification of authors, conditions of authors, and order and correspondent authors. KODISA enacted rules of identification of authors for the first time in Korea to develop science.

Stock Ownership Structure and Its Effects on Capital Structure and Corporate Value: Evidence from Indonesia

  • RAGIL, Siti;RAHAYU, Sri Mangesti;SUHADAK, uhadak
    • The Journal of Asian Finance, Economics and Business
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    • 제8권7호
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    • pp.423-431
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    • 2021
  • This research (1) examines the effect of stock ownership structure on capital structure; (2) explains the effect of stock ownership structure on corporate value; and (3) investigates the influence of capital structure on corporate value. This research is categorized as a quantitative research, which is directed to test various theories. In this study, the population of all consumption companies listed on the Indonesia Stock Exchange (IDX) consist of 38 companies. Population data in this study are all consumption companies, which have gone public in the period from 2010 to 2015. In this study, given the objectives and problem formulation and hypothesis, the analysis method used is Generalized Structural Component Analysis (GSCA). Ownership structure has a significant effect on capital structure; ownership structure has no significant effect on corporate value; capital structure has a significant effect on corporate value; corporate value has a significant effect on capital structure. Previous research found different results. Some researchers found a positive relationship and other researchers found a negative relationship, and there are studies that found both significant and non-significant effects. The inconsistency of previous research results prompted the researchers to examine the effect of ownership structure on capital structure and corporate value.

ISRI - Information Systems Research Constructs and Indicators: A Web Tool for Information Systems Researchers

  • Varajao, Joao;Trigo, Antonio;Silva, Tiago
    • Journal of Information Science Theory and Practice
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    • 제9권1호
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    • pp.54-67
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    • 2021
  • This paper presents the ISRI (Information Systems Research Indicators) Web tool, publicly and freely available at isri.sciencesphere.org. Targeting Information Systems (IS) researchers, it compiles and organizes IS adoption and use theories/models, constructs, and indicators (measuring variables) available in the scientific literature. Aiming to support the IS theory development process, the purpose of ISRI is to gather and systematize information on research indicators to help researchers and practitioners' work. The tool currently covers eleven theories/models: DeLone and McLean's IS Success Model (D&M ISS); Diffusion of Innovations Theory (DOI); Motivational Model (MM); Social Cognitive Theory (SCT); Task-Technology Fit (TTF); Technology Acceptance Model (TAM); Technology-Organization-Environment Framework (TOE); Theory of Planned Behavior (TPB); Decomposed Theory of Planned Behavior (DTPB); Theory of Reasoned Action (TRA); and Unified Theory of Acceptance and Use of Technology (UTAUT). It also includes currently over 400 constructs, nearly 2,500 indicators, and about 60 application contexts related to the models. For the creation of the tool's database, nearly 580 references were used.

LDA를 사용한 COVID-19 관련 국내 논문의 연구 토픽 분석 (Research Topic Analysis of the Domestic Papers Related to COVID-19 Using LDA)

  • 김은회;서유화
    • 한국정보전자통신기술학회논문지
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    • 제15권5호
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    • pp.423-432
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    • 2022
  • 본 논문은 학술연구자들이 COVID-19 관련 논문의 전체적인 연구 동향을 파악할 수 있도록 한다. KCI 사이트에서 수집한 2020년 1월부터 2022년 7월까지 총 10,599편의 COVID-19 관련 논문 정보를 LDA 토픽 모델링으로 분석한 결과를 제시한다. 또한 학술연구자들이 자신의 관심 연구분야의 토픽을 쉽게 파악할 수 있도록 LDA 토픽 모델링의 결과를 주요 연구 카테고리별로 분석하고, 토픽별로 연구가 많이 이루어지는 세부 연구 카테고리 정보를 분석한다. 학술연구자들이 시간의 흐름에 따른 연구 토픽의 추세(trend)를 파악하는 것은 연구 동향을 파악하는데 매우 중요하다. 따라서 이를 위해 본 논문에서는 시계열 분해를 사용하여 토픽들의 추세(trend)를 분석하여 제시한다.

국내 과학기술분야 정보이용자의 요구 및 정보추구행태 분석 (The Analysis of the Information Users' Needs and Information Seeking Behavior in He Field of Science and Technology)

  • 이지연;한승희;주수형
    • 정보관리학회지
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    • 제25권2호
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    • pp.127-141
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    • 2008
  • 본 연구에서는 질문지법을 이용하여 과학기술분야 연구자들의 정보요구와 탐색 행태를 분석하였다. 분석결과, 연구자들은 주로 연구개발의 업무, 보고서 작성 등치 업무에서 정보를 필요로 하고 있음을 알 수 있었다. 연구의 아이디어를 알아내는 방법으로는 주로 문헌을 활용하고, 연구자간 커뮤니케이션도 빈번하게 활용하고 있었다. 또한 그들이 가장 많이 활용하는 정보원으로는 디지털 도서관, 웹 검색 엔진, 학술정보포털 등으로 응답하여 온라인을 통한 정보 요구가 높은 것으로 알 수 있었다. 이러한 이용자 요구 조사 결과를 토대로 이용자 중심의 과학기술정보서비스를 개발할 수 있을 것으로 기대한다.

연구자의 논문 게재 이력을 고려한 저널 결정 요인별 중요도 학습 기반의 저널 추천 방법론 (Development of Journal Recommendation Method Considering Importance of Decision Factors Based on Researchers' Paper Publication History)

  • 손연빈;장태우;최예림
    • 인터넷정보학회논문지
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    • 제20권4호
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    • pp.73-79
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    • 2019
  • 연구자는 논문을 투고할 저널을 선택하는 과정에서 저널의 수가 방대하다는 점, 고려할 저널 결정 요인이 다양하다는 점에서 어려움을 겪는다. 이러한 어려움을 해소하기 위해 IRA(intelligent research assistant)의 한 종류로 연구자별로 논문 투고에 적합한 저널을 추천해주는 저널 추천 서비스를 활용할 수 있다. 하지만 현재 운영 중인 저널 추천 서비스의 경우 주제 유사도 및 수치적 필터링을 기반으로 저널 추천을 실행하고 있으며, 이 경우 연구자가 논문 데이터를 입력하지 않으면 주제 유사도를 고려할 수 없고, 수치적 필터링 기능도 연구자 스스로 결정 요인별 수치 범위를 명확하게 정하기에 어려움이 있다는 한계점이 존재한다. 따라서 본 논문에서는 연구자의 논문 게재 이력을 이용해 선호도 행렬을 형성하고, 이를 기반으로 저널 별 선호 점수를 고려한 저널 추천 방법론을 제안한다. 연구자는 다수의 저널 결정 요인에 대해 상이한 중요도를 가지고 있는데, 결정 요인 별 선호 민감도를 계산해 중요도를 학습한 뒤 이를 기반으로 모든 저널에 대한 선호 점수를 도출하여 저널을 추천한다는 점에서 의의가 있다. 실제 데이터를 이용하여 저널 추천실험을 수행했으며 제안 방법론의 우수한 성능을 확인하였다.

과학기술 출연(연) 연구자의 경력개발 현황과 개선방안 (Status and Improvement Plan of Career Development of Researchers at Government Research Institutes of Science and Technology)

  • 홍성민;조현숙
    • 노동경제논집
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    • 제43권3호
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    • pp.101-121
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    • 2020
  • 이 연구의 목적은 지식의 융합 및 교류와 연구자의 성장이 더 중요해지는 최근 연구개발 활동의 특징을 반영해, 연구자 경력개발(전문성 심화) 및 경력 유동성(핵심연구주제 변화) 지원체계 구축으로 우수 연구자의 성장을 촉진하는 데 있다. 정부출연 연구기관 연구자 548명을 대상으로 설문조사한 결과를 활용해, 경력개발 및 경력 유동성이 연구성과에 미치는 효과를 계량적으로 검증한 후, 연구자 성장에 적합한 경력개발을 촉진하는 연구환경 요소에 대한 분석을 시도하였다. 분석결과 안정적인 경력개발이 이루어진 후 경력 유동성이 강화되는 게 더 바람직하나 출연연구기관의 인적자원 및 경력개발 지원체계가 미흡한 것으로 나타나, 연구자 경력개발과 유동성을 지원하는 정책방안을 4단계로 제언하였다.

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사회과학연구에서 GIS 활용 동기와 만족의 인과분석 (Causual Analysis on Motivation and Satisfaction of Appling GIS for Social-Science Research)

  • 최병남;한선희;진희채
    • Spatial Information Research
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    • 제22권6호
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    • pp.1-11
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    • 2014
  • 만약에 사회과학분야 연구자들이 GIS를 활용하고 만족하는 이유를 안다면, 이를 통해 GIS 활용을 확산시킬 수 있는 전략을 마련할 수 있을 것이다. 본 연구는 사회과학분야 연구자들이 GIS를 활용하는 동기요인은 무엇이고, GIS를 활용해 만족을 느끼는 요인은 무엇인지를 분석한다. 이를 위하여 GIS의 강점과 활용요인 및 만족도를 사회과학분야 국책연구원과 지방연구원의 연구자들을 대상으로 조사하여 분석한다. 연구결과에 따르면 사회과학분야 연구자들이 GIS를 활용하는 동기요인은 효율성이며, 활용결과에 대한 만족요인은 사용성이라는 것이 밝혀졌다. 또한 GIS 활용의 동기요인과 만족요인은 전혀 상관관계가 없다는 것도 밝혀졌다. 이와 같은 현상은 사회과학분야 연구에서 GIS 활용 확산을 저해할 수 있다. GIS의 활용도를 증대시키기 위해서 GIS 활용과 만족요인을 연계시킬 수 있는 방안이 필요하다.