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.
NeuroscienceMagnetic resonance imaging dataMagnetic Resonance ImagingMRIresearch data managmentresearch data management studiessurvey dataData PracticesResearch Data Management Practicesresearch practicesMRI research workflowsMRI workflowsopen dataopen science workflowsopen scienceopen science toolsopen science softwareDataONE