[Quality and integrity in the production and publication of scientific results: data trimming, manipulation and (self) plagiarism].

The publication of scientific manuscripts is an essential part in the research process and in the attempt to produce novel knowledge: only what is published exists. It is the aim of research to produce reproducible and sustainable knowledge. Reproducible knowledge is based on precise observation, the use of modern methodologies and an appropriate statistical analysis. As a consequence, it must be the intention of any scientist to report the truth and nothing but the truth. This principle requires precision and honesty. Deviation from such a behavior may lead to scientific misconduct: It encompasses the use of inappropriate methods and/or statistics, double publication of data, sloppy data presentation and processing, up to data massaging, manipulation, data theft or fabrication. Famous examples can be found throughout the history of research but it appears that such behavior has recently become more common possibly due to excessive competition, the crucial role of grants for scientific productivity and funding as well as promotion. Accordingly, in the training of researchers it seems essential to emphasize the importance of precise data acquisition and analysis to ascertain reproducible data. Similarly, it must be assured that data sets are only published once, that authors have contributed technically and/or intellectually in an important manner and that the work of other scientists is cited appropriately. Editors and reviewers should carefully assess the quality of submitted manuscripts. In fact, it is the aim of the peer review process to assure as much as possible that the quality of submitted manuscripts meets current methodological as well as ethical standards.