Survey data on research data management practices and perceptions of MRI researchers

This dataset contains the results of an online survey run in summer of 2017 on the research data management (RDM) practices and perceptions of researchers using magnetic resonance imaging (MRI) to study human neuroscience (N=144). The dataset includes responses to multiple choice questions ordered roughly according the phases of a typical research project including data collection, analysis, and sharing. It focuses on a range of RDM topics, including the type of data collected, software and tools used to analyze and manage data, and the degree to which data management practices are standardized within a research group. It also includes participant ratings on the maturity of their data management practices and those of the field at large on a 1-5 scale from ad hoc to refined and responses about perceptions of new scholarly communications practices including data sharing, data reuse, and Open Access publishing.The survey instrument used can be found at the link in the reference below.

本数据集收录了2017年夏季进行的一项在线调查的结果，该调查针对使用磁共振成像（MRI）研究人类神经科学的研究人员（N=144）在研究数据管理（RDM）实践和认知方面的状况。数据集涵盖了包括数据收集、分析和共享等典型研究项目阶段的多个选择题的回答，并围绕一系列RDM主题展开，如收集数据的类型、用于分析和管理数据的相关软件和工具，以及研究团队内部数据管理实践标准化的程度。此外，还包括了参与者对其数据管理实践以及整个领域数据管理成熟度的评分，评分标准为1-5级，从临时性至精细化，以及对新学术交流实践（包括数据共享、数据再利用和开放获取出版）认知的调查反馈。调查工具的链接可在下方的参考文献中找到。