Dataset of research misconduct knowledge and associated factors among nurses in China: A national cross-sectional survey

Abstract

Engagement in research misconduct by nurses may results in professional misconduct in the clinical setting, thereby jeopardizing the quality of patient care. We still know little about the research misconduct situation among nurses. Previous attempts also hardly reflected participants' actual knowledge level of research misconduct. This data article presents a novel dataset of a cross-sectional study investigating the research misconduct knowledge level and associated factors among nurses in China. Between March 2018 and March 2021, a national survey was conducted at 200 tertiary hospitals in 25 provinces. A multistage sampling (province, hospital, and participants) was applied and 4,112 nurses were recruited in this study. Participants completed questionnaires online through smartphones scanning a Quick Response (QR) code. The survey consisted of demographic characteristics, research activities, scientific misconduct knowledge, perceived reasons for research misconduct and perceived consequences for research misconduct. Data from 3,640 nurses were reserved in the dataset after data cleaning. This dataset may provide comprehensive information on research misconduct knowledge and associated factors, and important evidence for designing research integrity continuing training for nurses.

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