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Biography |
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Dr. Elhadidy is currently an associate professor of Microbiology at Mansoura University and research associate at Scientific Institute of Public health in Brussels. Dr. Elhadidy holds a DVM degree from Faculty of Veterinary Medicine at Mansoura University in Egypt. He obtained his Master’s degree in 2006 in Microbiology from School of Veterinary Medicine, Mansoura University and obtained his PhD (2010) in Microbiology from Virginia Tech University, USA and Faculty of Veterinary Medicine, Mansoura University, Mansoura, Egypt (via a joint-supervision PhD program). From 2011-2014, Dr. Elhadidy served as a research scientist in the Department of Microbiology and Immunology, School of Medicine at the University of Saskatchewan, Canada; as a research associate at the School of Cellular and Molecular Medicine, University of Bristol, and University of Gent, Belgium. Dr. Elhadidy research interests is focused on One health and transitional research and he currently investigates the molecular characterization of different genetic markers that play a role in virulence potential, antimicrobial resistance and transmission of E. coli O157:H7 and Campylobacter Jejuni to human. He is an author of more than 30 international scientific publications in this field, including peer reviewed articles, and conference papers. Dr. Elhadidy is member of committee, National Academy of Sciences, USA to develop framework of faculty members in MENA region and Egypt who are better able to teach issues related to the responsible conduct of science (RCS) by combining tenets of RCS and active learning pedagogical techniques.
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Abstract |
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Plagiarism, Fabrication and Falsification of Data |
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Plagiarism, fabrication and falsification of data are the three main elements of research misconduct that are usually encountered among researchers worldwide. Plagiarism, fabrication and falsification of data refers to proposing, performing, or reviewing research, or in reporting research results. Data fabrication means to make up data or results and to record or report them. Data falsification is manipulating research materials, equipment, or processes, or changing or omitting data or results such that the research is not accurately represented in the research record. Plagiarism is the appropriation of another person’s ideas, processes, results, or words without giving appropriate credit. All three practices affect the scientific community trust in fellow scientists and in the authenticity and quality of their published data. |
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