THE PROBLEM OF INTEGRITY OF MODERN BIOMEDICAL AND ENVIRONMENTAL RESEARCH

Abstract

In the context of the need to comply with the European Code of Conduct for Research Integrity, which serves the European research community as a basis for self-regulation in all scientific and academic disciplines and for all research institutions, a review of the problem of integrity in modern biomedical and environmental research was conducted.

Purpose of the work. The purpose of the paper is to highlight principles and practices for promoting integrity in modern biomedical and environmental research.

Methodology. The analysis and critical assessment of modern published works on the problem of academic integrity, a review of the level of study of the scientific problem were applied. For this, general methods of scientific knowledge are used, such as analysis, synthesis, induction, deduction, comparison. The critical assessment involved an assessment of the validity of the conclusions in the analyzed publications, their novelty.

Scientific novelty. The guiding principles of research integrity, particularly biomedical and environmental, are analyzed, which are the basis of a reliable scientific result. Practices to promote research integrity include the use of sound research methods, effective statistics, recording of interim results, as well as the protection of human participants in research and the humane treatment of animals. The issues of academic integrity related to the use of artificial intelligence in the research space and scientific peer review are emphasized.

Conclusions. Integrity in scientific research, including biomedical and environmental research, involves the intellectual honesty of the researcher and the application of practices aimed primarily at the use of rigorous research methods, the appropriate application of statistical models, and the control of bias, which ensures the validity of conclusions. To strengthen research integrity, concern for the quality of the research environment plays an important role. Given that AI is already creating significant challenges for the educational space, the problem of replacing research authenticity and maintaining academic integrity in the peer review process of scientific publications arises. Developing mechanisms that will prevent this requires further research.