ReproNim: Towards a culture of more reproducible neuroimaging research
Wednesday, November 10, 2021
08:00 UTC
Dr. David N. Kennedy, PhD
University of Massachusetts Medical School
Recording
Open recording
Hosted by Open Source Neuro70 minutes
Abstract
Given the intrinsically large and complex data sets collected in neuroimaging research, coupled with the extensive array of shared data and tools amassed in the research community, ReproNim seeks to lower the barriers for efficient: use of data; description of data and process; use of standards and best practices; sharing; and subsequent reuse of the collective ‘big’ data. Aggregation of data and reuse of analytic methods have become critical in addressing concerns about the replicability and power of many of today’s neuroimaging studies.
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