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Frauds in scientific research and how to possibly overcome them.
Boetto, Erik; Golinelli, Davide; Carullo, Gherardo; Fantini, Maria Pia.
  • Boetto E; Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.
  • Golinelli D; Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy davide.golinelli@unibo.it.
  • Carullo G; Department of Italian and Supranational Public Law, University of Milan, Milano, Lombardia, Italy.
  • Fantini MP; Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.
J Med Ethics ; 2020 Oct 06.
Article in English | MEDLINE | ID: covidwho-835518
ABSTRACT
Frauds and misconduct have been common in the history of science. Recent events connected to the COVID-19 pandemic have highlighted how the risks and consequences of this are no longer acceptable. Two papers, addressing the treatment of COVID-19, have been published in two of the most prestigious medical journals; the authors declared to have analysed electronic health records from a private corporation, which apparently collected data of tens of thousands of patients, coming from hundreds of hospitals. Both papers have been retracted a few weeks later. When such events happen, the confidence of the population in scientific research is likely to be weakened. This paper highlights how the current system endangers the reliability of scientific research, and the very foundations of the trust system on which modern healthcare is based. Having shed light on the dangers of a system without appropriate monitoring, the proposed analysis suggests to strengthen the existing journal policies and improve the research process using new technologies supporting control activities by public authorities. Among these solutions, we mention the promising aspects of the blockchain technology which seems a promising solution to avoid the repetition of the mistakes linked to the recent and past history of research.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Year: 2020 Document Type: Article Affiliation country: Medethics-2020-106639

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Year: 2020 Document Type: Article Affiliation country: Medethics-2020-106639