Data-Intensive Science and Research IntegrityRecent scandals and controversies—such as the falsification, fabrication, and plagiarism of data in federally funded science; the manipulation and distortion of research sponsored by private companies; human embryonic stem cell research; cloning; and the patenting of DNA and cell lines—illustrate the importance of ethics in scientific research. This book provides an introduction and overview of many of the social, ethical, and legal issues facing scientists today. The book includes chapters on research misconduct, conflicts of interest, data management, mentoring, authorship, peer review, publ The book includes chapters on research misconduct, conflicts of interest, data management, mentoring, authorship, peer review, publication, intellectual property, research with human subjects, research with animal subjects, genetic and stem cell research, international research, and ethical decision making. The book also features dozens of real and hypothetical cases for discussion and analysis and introduces the reader to important research regulations and guidelines. Now in its second edition, this book synthesizes the diverse talents and experiences.
Responsible conduct of research and TENK (with captions)
In this commentary, we consider questions related to research integrity in data-intensive science and argue that there is no need to create a distinct category of misconduct that applies to deception related to processing, analyzing, or interpreting data. The best way to promote integrity in data-intensive science is to maintain a firm commitment to epistemological and ethical values, such as honesty, openness, transparency, and objectivity, which apply to all types of research, and to promote education, policy development, and scholarly debate concerning appropriate uses of statistics. The growing importance of data-intensive science a. Data-intensive science has been described as research in which the capture, curation, and analysis of large volumes of data is central to the scientific question. While efforts to handle such large quantities of data often challenge traditional approaches Hey et al , historians have pointed out that scientists have faced challenges in collecting and analyzing large volumes of data for centuries Laudan , Muller-Wille and Charmantier Nevertheless, contemporary data-intensive science is distinctive because it incorporates new computational methods and technologies and tends to involve large, interdisciplinary scientific teams Leonelli ; Strasser Data-intensive research now plays an important role in many disciplines, including particle physics, astronomy, cancer therapy, drug discovery, radiology, ecology, climatology, geology, molecular biology, molecular biology, systems biology, economics, and social science Elliott et al , Sugimoto et al
The term research ethics refers to the ethics of planning, conducting, and reporting research. Concerns with research ethics, and especially the prevention of research misconduct, have grown steadily over the past several decades.
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Research Ethics: The Responsible Conduct of Research
The references in the following list provide you with the opportunity to explore in more detail some of the topics introduced in this course. Bulger, R. Cambridge, U. Research Triangle Park, N. Chevy Chase, Md. D'Angelo, J. DuBois, J.