Sustaining Engineering Education Research: Sharing Qualitative Research Data For Secondary Analysis

The need for secondary data analysis practices emerges from multiple sources. Qualitative researchers often have rich data sets that far exceed the time available for data analysis, and many of us wish that someone could spend more time with the data. We also recognize that local data sets would benefit from further analysis that linked our data with related data collected in different contexts. Many also grapple with increasing data sharing requirements from funding agencies that raise concerns about participant confidentiality and data integrity. This workshop provides a chance to explore potential responses to these concerns through a robust dialogue around secondary data analysis practices and pitfalls.