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Initially, the principles of Research Data Management (RDM) were often seen as an administrative burden. Today, however, we see a well-oiled system designed to enhance data quality and improve the overall research process. RDM is now a cornerstone of research integrity. What constitutes solid Resea…
Science claims to be self-correcting through the system of corrections and retractions in journal publications. But how effective and comprehensive is this self-regulating system? How to deal with potential mistakes? What distinguishes a correction from a retraction? When are they needed and who ma…
In this episode we discuss authorship in academic research; the core aspects of recognizing contributions to scientific research, and all challenges related to this. Why is authorship such an important issue in science? How do you determine all authors on a paper? What is a significant contribution…
Hot and trending as this topic may well be, the use of (Gen)AI in research is here to stay. And it’s use also presents some challenges from a research integrity perspective. What are the (dis)advantages and how can we integrate them into good research practice? Who is responsible for the correct us…
Undoubtedly the outlier of this podcast series. While perhaps not at the heart of the concept of research integrity, the choice to highlight humanity in doing science is deliberate. After all, a research integrity culture cannot grow and flourish without vulnerability. Without questioning ourselves…
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