a National Institute for Environmental Health Ethics, National Institutes of Health , 111 Alexander Drive, Research Triangle Park , NC , 27709 , USA.
b Lyman Briggs College, Department of Fisheries and Wildlife, and Department of Philosophy , Michigan State University.
c Department of Fisheries and Wildlife , Michigan State University.
d National Institute for Environmental Health Ethics, National Institutes of Health.
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.