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  1. Conference summary: 'The responsible conduct of basic and clinical research'.Raymond E. Spier - 2006 - Science and Engineering Ethics 12 (1):189-197.
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  • The Mentor’s Role in Fostering Research Integrity Standards Among New Generations of Researchers: A Review of Empirical Studies. [REVIEW]Daniel Pizzolato & Kris Dierickx - 2023 - Science and Engineering Ethics 29 (3):1-23.
    Promoting research integrity practices among doctoral candidates and early career researchers is important for creating a stable and healthy research environment. In addition to teaching specific technical skills and knowledge, research supervisors and mentors inevitably convey research practices, both directly and indirectly. We conducted a scoping review to summarise the role of mentors in fostering research integrity practices, mentors’ responsibilities and the role that institutions have in supporting good mentorship. We searched five different databases and included studies that used an (...)
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  • The Effectiveness of Ethics Education: A Quasi-Experimental Field Study.Douglas R. May & Matthew T. Luth - 2013 - Science and Engineering Ethics 19 (2):545-568.
    Ethical conduct is the hallmark of excellence in engineering and scientific research, design, and practice. While undergraduate and graduate programs in these areas routinely emphasize ethical conduct, few receive formal ethics training as part of their curricula. The first purpose of this research study was to assess the relative effectiveness of ethics education in enhancing individuals’ general knowledge of the responsible conduct of research practices and their level of moral reasoning. Secondly, we examined the effects of ethics education on the (...)
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  • Developing and Communicating Responsible Data Management Policies to Trainees and Colleagues.Julia Frugoli, Anne M. Etgen & Michael Kuhar - 2010 - Science and Engineering Ethics 16 (4):753-762.
    The basic components of data management including data ownership, collection, selection, recording, analysis, storage, retention, destruction, and sharing. A number of important principles underlie best practices for each of these components; these include recording details such that another can repeat the experiment, keeping the data safe, managing storage in such a way as to facilitate easy retrieval for the period of time required by regulatory agencies and establishing data sharing principles with colleagues before collaborations begin. Experience as practicing scientists and (...)
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