  We describe a unique environment in which undergraduate students from various
STEM and social science disciplines are trained in data provenance and
reproducible methods, and then apply that knowledge to real, conditionally
accepted manuscripts and associated replication packages. We describe in detail
the recruitment, training, and regular activities. While the activity is not
part of a regular curriculum, the skills and knowledge taught through explicit
training of reproducible methods and principles, and reinforced through
repeated application in a real-life workflow, contribute to the education of
these undergraduate students, and prepare them for post-graduation jobs and
further studies.

Computers and Society;Other Statistics