The Prevalence of Inappropriate Image Duplication in Biomedical Research Publications

A narrative review of the phenomenon of predatory journals to create awareness among researchers in veterinary medicine

In recent years, especially since the COVID-19 pandemic, the number of predatory journals has increased significantly. Predatory journals exploit the "open-access model" by engaging in deceptive practices such as charging high publication fees without providing the expected quality and performing insufficient or no peer review. Such behaviors undermine the integrity of scientific research and can result in researchers having trouble identifying reputable publication opportunities, particularly early-career researchers who struggle to understand and establish the correct criteria for publication in reputable journals. Publishing in journals that do not fully cover the criteria for scientific publication is also an ethical issue. This review aimed to describe the characteristics of predatory journals, differentiate between reliable and predatory journals, investigate the reasons that lead researchers to publish in predatory journals, evaluate the negative impact of predatory publications on the scientific community, and explore future perspectives. The authors also provide some considerations for researchers (particularly early-career researchers) when selecting journals for publication, explaining the role of metrics, databases, and artificial intelligence in manuscript preparation, with a specific focus on and relevance to publication in veterinary medicine.

A practical guide to bioimaging research data management in core facilities

Bioimage data are generated in diverse research fields throughout the life and biomedical sciences. Its potential for advancing scientific progress via modern, data-driven discovery approaches reaches beyond disciplinary borders. To fully exploit this potential, it is necessary to make bioimaging data, in general, multidimensional microscopy images and image series, FAIR, that is, findable, accessible, interoperable and reusable. These FAIR principles for research data management are now widely accepted in the scientific community and have been adopted by funding agencies, policymakers and publishers. To remain competitive and at the forefront of research, implementing the FAIR principles into daily routines is an essential but challenging task for researchers and research infrastructures. Imaging core facilities, well-established providers of access to imaging equipment and expertise, are in an excellent position to lead this transformation in bioimaging research data management. They are positioned at the intersection of research groups, IT infrastructure providers, the institution´s administration, and microscope vendors. In the frame of German BioImaging - Society for Microscopy and Image Analysis (GerBI-GMB), cross-institutional working groups and third-party funded projects were initiated in recent years to advance the bioimaging community's capability and capacity for FAIR bioimage data management. Here, we provide an imaging-core-facility-centric perspective outlining the experience and current strategies in Germany to facilitate the practical adoption of the FAIR principles closely aligned with the international bioimaging community. We highlight which tools and services are ready to be implemented and what the future directions for FAIR bioimage data have to offer.