Efficiency of “Publish or Perish” Policy—Some Considerations Based on the Uzbekistan Experience

Investigating Country-Specific Perceptions of Predatory Journals and Their Impact on Scholarly Integrity: A Systematic Review

This systematic review aims to identify the countries most active in combatting predatory journals and their definitions of such practices. It also seeks to assess awareness within academic communities, examine the impact of predatory journals on research quality and integrity, and compile existing policies to mitigate their negative effects and strengthen global scholarly integrity. A systematic search was performed in the PubMed, Scopus, and Embase databases on February 7, 2024, in line with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The focus was solely on identifying studies that examined the unique experiences and interventions associated with predatory journals in distinct national contexts. The analysis included a presentation of quantitative results and a thematic examination of qualitative data. A total of 40 articles covering 19 countries were included. Twenty-four countries (60%) were in Asia, 11 (27.5%) in Africa, two (5%) in Europe, and one (2.5%) each in Australia, North America, and South America. Although not all articles cited Beall's list to identify predatory journals, the thematic analysis showed consistent topics across various definitions and Beall's themes. Our analysis identified factors affecting academic publishing perceptions globally, highlighting publication pressure, predatory practices, and policy impacts on ethics and standards. This systematic review examined the literature on predatory publishing and identified the leading countries in the fight against these predatory publications. This analysis underscores a complex interplay of factors affecting academic publishing globally, from the push towards predatory journals as a response to publishing pressures, to the critical role of government and institutional frameworks.

Correlation between journal metrics-based academic evaluation and researchers' ethics

The "publish or perish" approach has become an integral part of an academic's life when seeking positions, striving for promotions, or competing for funding. This approach often hinges on journal-based metrics which push researchers to seek publication in journals indexed in the Web of Science. Due to the pressure to publish a certain number of publications in journals indexed in the Web of Science, researchers might attempt to find a journal with a lower impact factor, i.e., less popular and visible journals in the scientific community. Even more concerning is the fact that researchers might publish their results in predatory journals. This paper analyzes the consequence of introducing a journal indicators-based academic evaluation by analyzing productivity and publication patterns of researchers. Moreover, this paper investigates the correlation between journal-based academic evaluation rules and researchers' ethics. The analysis is based on bibliometric data collected from the Web of Science database. The case study subject is the Serbian research landscape before and after the introduction of a journal metrics-based academic evaluation.

Applying quantified indicators in Central Asian science: can metrics improve the regional research performance?

Quantified indicators are increasingly used for performance evaluations in the science sectors worldwide. However, relatively little information is available on the expanding use of research metrics in certain transition countries. Central Asia is a post-Soviet region where newly independent states achieved lower research performance relative to comparators in key indicators of productivity and integrity. The majority of the countries in this region showed an overall declining or stagnating research impact in the recent decade since 2008. This study discusses the implications of research metrics as applied to the transition countries based on the framework of ten principles of the Leiden Manifesto. They can guide Central Asian policymakers in creating systems for a more objective evaluation of research performance based on globally recognized indicators. Given the local conditions of authoritarianism and corruption, the broader use of transparent indicators in decision-making can help improve the positions of Central Asian science in international rankings.

Autoethnography on Researcher Profile Cultivation

Information Communication Technology (ICT) and social networks have significant impact on everyday life. One the one hand, Internet users enjoy promoting themselves and feel free to disseminate information about themselves through websites and social networks, but on the other hand, people feel forced to reveal information about them on the Internet. Web technologies enable self-promotion for many reasons, i.e., social relations development, acquiring a new job, or research career support. This paper concerns autoethnography application for social science researcher profile cultivation. Autoethnography belongs to qualitative methods and focuses on deep analysis of experiences and competencies in a narrative way. In this study, autoethnography is self-reflection for personal development strategy. This study methodology includes the literature survey and case study. The Literature Survey (LS) on autoethnographic research is included to answer the question for what purposes autoethnography is applied. In the case study, the author proposes to expand autoethnography and presents that beyond stories, statistical data can be used to reveal researcher’s experiences and personality, and data anonymization is a solution for privacy protection in autoethnographic research. The results indicate that perception of individual profile is significantly influenced by ICT, Internet services, and social networks platforms and portals. Contemporary researchers are evaluated by Web statistical measures. The researcher’s profiling is much more complex and statistical measures and metrics provide a general view of the researcher. Application of statistical measures leads to concluding on general competencies of the researcher and precludes a deep focus on local scientific specificity of the researcher. This paper has added value because of presenting the academic community integration with the Internet social networks, e.g., Facebook, LinkedIn, or SciVal. The paper emphasizes transparency and visibility of researchers’ profiles, as well as the necessity to analyze their activities and publications in academic community context and in comparisons with others.

Plagiarism through Paraphrasing Tools—The Story of One Plagiarized Text

This paper describes a unique case study wherein real plagiarism revealed in a scientific journal is compared with the original article. The plagiarized text contains many typical errors, such as inconsistent terminology, unclear meanings of sentence, missing tables and figures, and an incorrect literature list. The occurrence of similar errors in other manuscripts may serve as a warning against plagiarism. During the analysis of the plagiarized text, it was assumed that a paraphrasing tool was used for preparing this plagiarized text. To confirm this assumption, the chosen paraphrasing tool was used to create a paraphrased version of the article and this version was compared with the plagiarized text. The paraphrased version had far fewer changes from the plagiarized text than the plagiarized text had from the original article. Thus, it was confirmed that the plagiarized text was created using a paraphrasing tool. Information contained in this article can be used for detecting this type of plagiarism.