ArticleScience and engineering ethics2020
Handling Anomalous Data in the Lab: Students' Perspectives on Deleting and Discarding.
Article in Science and engineering ethics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Perceptions of Research Integrity Among Medical Researchers in Shanghai Teaching Hospitals: A Cross-Sectional Survey.Developing world bioethics · 2026Article
- Article
- Exploring Student Sensemaking When Engaging with Anomalous Data.CBE life sciences education · 2024Article
Corrections and comments
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Authors and funding
2 authors.
Funding
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Abstract
This paper presents and discusses empirical results from a survey about the research practice of Danish chemistry students, with a main focus on the question of anomalous data. It seeks to investigate how such data is handled by students, with special attention to so-called 'questionable research practices' (QRPs) where anomalous data are simply deleted or discarded. This question of QRPs is of particular importance as the educational practices students experience may influence how they act in their future professional careers, for instance in research. The ethical evaluation of QRPs however is not univocal. In parts of the literature QRPs are seen as unquestionably bad, while in other parts of the literature certain QRPs are seen as a necessary aspect of scientific practice. Results from the survey of Danish chemistry students shows that many students engage in certain types of questionable practices, and that a large minority of the students have been actively encouraged by their teachers to engage in such practices. The paper discusses to what extent and under what circumstances such instructional practices can be defended and suggests how the instructional practice connected to the handling of anomalous data can be improved.
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Registered trials
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