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Generalizing on best practices in image processing: a model for promoting research integrity: Commentary on: Avoiding
1Department of Physiology and Biophysics, University of Alabama at Birmingham, Birmingham, AL 35294-0005, USA. benos@uab.edu
Abstract:
Modifying images for scientific publication is now quick and easy due to changes in technology. This has created a need for new image processing guidelines and attitudes, such as those offered to the research community by Doug Cromey (Cromey 2010). We suggest that related changes in technology have simplified the task of detecting misconduct for journal editors as well as researchers, and that this simplification has caused a shift in the responsibility for reporting misconduct. We also argue that the concept of best practices in image processing can serve as a general model for education in best practices in research.
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