研究实践和研究不端行为的评估

C.H.J. Hartgerink, J. Wicherts
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引用次数: 8

摘要

本文讨论了负责任的研究行为、有问题的研究实践和研究不端行为。负责任的研究行为通常是根据一系列抽象的、规范的原则、专业标准和研究中的道德规范来定义的。为了适应科学研究的规范原则、专业标准和研究人员的道德原则,透明的研究实践可以作为负责任的研究行为的框架。我们建议采用“删减和增加”的项目结构,以提高透明度,进而提高负责任的研究行为。有问题的研究实践被定义为对研究过程有害的实践。有问题的研究实践的普遍程度在很大程度上仍然未知,研究结果的可重复性也存在问题。有问题的实践被透明的实践所阻碍,因为由此产生的实践对科学同行来说将变得更加明显。最有效的可能是预先登记研究设计、假设和分析,通过提供一个先验的研究方案来减少结果的特殊性。研究不端行为被定义为捏造、伪造和剽窃(FFP),这显然是最糟糕的研究行为。尽管它显然是错误的,但它可以从科学和法律的角度来看待。从法律角度看,科研不端行为是一种白领犯罪。科学的观点试图回答以下问题:“结果是否因为不当行为而无效?”我们回顾了不当行为通常是如何检测到的,如何改进其检测,以及它可能有多普遍。机构可以通过实施数据审计来促进对数据伪造和伪造的发现。尽管如此,不端行为的影响是普遍存在的:许多被撤稿的文章在撤稿后仍被引用。研究人员系统地评估自己的行为,认为自己比同事更负责任,但并不像他们希望的那样负责任。开放科学框架推动的透明实践有助于体现促进负责任行为的科学规范。有问题的研究实践损害了研究过程,与普遍接受的科学规范背道而驰,但很难发现。研究不端行为需要研究界的积极审查,因为编辑和同行审稿人没有足够的注意来发现这一点。本文给出了如何提高对潜在问题的检测能力的建议。
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Research practices and assessment of research misconduct
This article discusses the responsible conduct of research, questionable research practices, and research misconduct. Responsible conduct of research is often defined in terms of a set of abstract, normative principles, professional standards, and ethics in doing research. In order to accommodate the normative principles of scientific research, the professional standards, and a researcher’s moral principles, transparent research practices can serve as a framework for responsible conduct of research. We suggest a “prune-and-add” project structure to enhance transparency and, by extension, responsible conduct of research. Questionable research practices are defined as practices that are detrimental to the research process. The prevalence of questionable research practices remains largely unknown, and reproducibility of findings has been shown to be problematic. Questionable practices are discouraged by transparent practices because practices that arise from them will become more apparent to scientific peers. Most effective might be preregistrations of research design, hypotheses, and analyses, which reduce particularism of results by providing an a priori research scheme. Research misconduct has been defined as fabrication, falsification, and plagiarism (FFP), which is clearly the worst type of research practice. Despite it being clearly wrong, it can be approached from a scientific and legal perspective. The legal perspective sees research misconduct as a form of white-collar crime. The scientific perspective seeks to answer the following question: “Were results invalidated because of the misconduct?” We review how misconduct is typically detected, how its detection can be improved, and how prevalent it might be. Institutions could facilitate detection of data fabrication and falsification by implementing data auditing. Nonetheless, the effect of misconduct is pervasive: many retracted articles are still cited after the retraction has been issued. Main points Researchers systematically evaluate their own conduct as more responsible than colleagues, but not as responsible as they would like. Transparent practices, facilitated by the Open Science Framework, help embody scientific norms that promote responsible conduct. Questionable research practices harm the research process and work counter to the generally accepted scientific norms, but are hard to detect. Research misconduct requires active scrutiny of the research community because editors and peer-reviewers do not pay adequate attention to detecting this. Tips are given on how to improve your detection of potential problems.
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