DOI: 10.3897/ese.2025.e165043

Authors: Reese Richardson, Matt Spick

Abstract: The combination of open-access datasets, machine learning workflows, increased computing capacity, and generative artificial intelligence has effectively removed many of the rate-limiting steps in manuscript production. This has created an industry of click-data science and a flood of low-quality manuscripts based on large health datasets such as the US National Health and Nutrition Examination Survey, the UK Biobank, and the US FDA Adverse Event Reporting System. These papers often employ statistically appropriate methods and real data, but introduce misleading results and false discoveries to the literature. Here, we offer suggestions for editors on how to identify such manuscripts and reject them at the point of submission, reducing the burden on the publishing process.

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DOI: 10.3897/ese.2025.e120210

Authors: Hristina Prodanova, Stelian Dimitrov

Abstract: Background: The requirement of publishing high-quality papers in established peer-reviewed journals is still in the early days of implementation among academic geographers in Bulgaria, which limits the visibility and impact of Bulgarian research and delays the possibilities of academic recognition and international collaboration.Objectives: To examine the current visibility and impact of Bulgarian geographers using quantitative analysis of publicly available data derived from eight scientometric databases and social media platforms.Methods: Relevant data were collected for 116 researchers affiliated with five institutions from the following sources: Scopus, Web of Science, Publons, ORCID, Google Scholar, Research Gate, LinkedIn, and X (Twitter). Using Microsoft Excel, the performance of each of the researchers and each of the institutions was quantified in terms of (1) the number of publications, (2) the number of citations, (3) H-index, (4) i10-index, and (5) Research Interest Score. The scores were also plotted using RAWGraphs and Microsoft PowerPoint.Results: Only half of the researchers had published in internationally indexed journals. The institutions and departments in the capital city, Sofia, enjoyed significantly and disproportionately higher visibility than those from smaller towns. Geographers from the Bulgarian Academy of Sciences (Sofia) and one department from Sofia University showed the highest visibility on Scopus (100%), whereas two rural universities – the University of Veliko Tarnovo and Shumen University – were visible mostly on ResearchGate and Google Scholar. Overall visibility of each institution on social media was very low (8%–16%).Conclusions: The analysis led to several recommendations on increasing the visibility and impact of Bulgarian research in geography. These recommendations will be valuable in research management, public relations, especially in improving communications and devising development strategies.

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DOI: 10.3897/ese.2022.e77781

Authors: Tanja Vuckovic Juros

Abstract: Open science offers hope for new accountability and transparency in social sciences. Nevertheless, it still fails to fully consider the complexities of qualitative research, as exemplified by a reflection on sensitive qualitative data sharing. As a result, the developing patterns of rewards and sanctions promoting open science raise concern that quantitative research, whose “replication crisis” brought the open science movement to life, will benefit from “good science” re-evaluations at the expense of other research epistemologies, despite the necessity to define accountability and transparency in social sciences more widely and not to conflate those with either reproducibility or data sharing.

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