Scientific data citation is a common behavior in the process of scientific research and writing academic papers under the context of data-intensive scientific research paradigm. Standardized citation of scientific dat...Scientific data citation is a common behavior in the process of scientific research and writing academic papers under the context of data-intensive scientific research paradigm. Standardized citation of scientific data has received continuous attention from academia and policy management departments in recent years. In order to explore the characteristics and the correlation of scientific data citations of Chinese researchers, based on the results of scientific data citations presented in academic papers, this study use CNKI as the data source to extract771 papers in 12 academic journals during 2017 to 2019. Combining with the Chinese national standard Information Technology-Scientific Data Citation(GB/T 35294-2017), a set of variables were given to reflect the reference characteristics. First, 4992 citation records of scientific data were manually identified and coded one by one, and the citation characteristics were presented with the statistical distribution of data frequency. Then, the chi-square test, log-linear model analysis, and correspondence analysis methods were used to analyze and explore the significant correlation among the characteristic variables. The study found that in general, the phenomenon of scientific data citations in Chinese researchers is widespread, and the number of citations has increased year by year, but there are also a large number of irregular citations. At present, there are roughly two modes of citation labeling behavior, and the traditional document citation mode is still the mainstream citation method for data citation. Furthermore, distributor type of scientific data may affect the reference in marked way. In addition, the completeness of the labeling elements differed in different bibliographic elements of scientific data. Irregular references to Unique Identifiers and parsing addresses are particularly prominent, which may be related to the type of distributor.展开更多
The emergence of the internet has transformed all areas of society.This includes the universe of scientific publications,with several publishers now exclusively focusing on the electronic format and open access model ...The emergence of the internet has transformed all areas of society.This includes the universe of scientific publications,with several publishers now exclusively focusing on the electronic format and open access model while expanding to a megajournal scope.in this context,the pandemic of predatory open access journals(POAJs)and meetings are of grave concern to the academic and research community.This new shift within academia produces a variety of new victims;namely,the authors themselves.in turn,scientific knowledge is often discredited,with the public placing less trust in science.Now more than ever,performing research with integrity and selecting a journal in which to publish requires close attention and expertise.The“predatory movement”has developed increasingly sophisticated techniques for misleading people into believing what seem to be credible professional layouts and legitimate invitations.initiatives such as the Jeffrey Beall’s list,the Cabell’s Scholarly Analytics and Think.Check.Submit offer some guidance to uncover the“parasitic”intervention of predatory journals and meetings,but specific education in this field is sorely needed.This work aims to review the main characteristics of predatory journals and meetings and to analyze this topic in the context of forensic and legal medicine research.展开更多
文摘Scientific data citation is a common behavior in the process of scientific research and writing academic papers under the context of data-intensive scientific research paradigm. Standardized citation of scientific data has received continuous attention from academia and policy management departments in recent years. In order to explore the characteristics and the correlation of scientific data citations of Chinese researchers, based on the results of scientific data citations presented in academic papers, this study use CNKI as the data source to extract771 papers in 12 academic journals during 2017 to 2019. Combining with the Chinese national standard Information Technology-Scientific Data Citation(GB/T 35294-2017), a set of variables were given to reflect the reference characteristics. First, 4992 citation records of scientific data were manually identified and coded one by one, and the citation characteristics were presented with the statistical distribution of data frequency. Then, the chi-square test, log-linear model analysis, and correspondence analysis methods were used to analyze and explore the significant correlation among the characteristic variables. The study found that in general, the phenomenon of scientific data citations in Chinese researchers is widespread, and the number of citations has increased year by year, but there are also a large number of irregular citations. At present, there are roughly two modes of citation labeling behavior, and the traditional document citation mode is still the mainstream citation method for data citation. Furthermore, distributor type of scientific data may affect the reference in marked way. In addition, the completeness of the labeling elements differed in different bibliographic elements of scientific data. Irregular references to Unique Identifiers and parsing addresses are particularly prominent, which may be related to the type of distributor.
文摘The emergence of the internet has transformed all areas of society.This includes the universe of scientific publications,with several publishers now exclusively focusing on the electronic format and open access model while expanding to a megajournal scope.in this context,the pandemic of predatory open access journals(POAJs)and meetings are of grave concern to the academic and research community.This new shift within academia produces a variety of new victims;namely,the authors themselves.in turn,scientific knowledge is often discredited,with the public placing less trust in science.Now more than ever,performing research with integrity and selecting a journal in which to publish requires close attention and expertise.The“predatory movement”has developed increasingly sophisticated techniques for misleading people into believing what seem to be credible professional layouts and legitimate invitations.initiatives such as the Jeffrey Beall’s list,the Cabell’s Scholarly Analytics and Think.Check.Submit offer some guidance to uncover the“parasitic”intervention of predatory journals and meetings,but specific education in this field is sorely needed.This work aims to review the main characteristics of predatory journals and meetings and to analyze this topic in the context of forensic and legal medicine research.
