The Readiness Acceleration and Innovation Network (RAIN), a biotechnology incubator, wondered whether they effectively collect data about their educational programming. They were concerned with effectively measuring their impact, as well as issues around underrepresented groups in the sciences. This project included in-depth background research, a data collection audit, analysis of organizational artifacts, and stakeholder interviews to make recommendations for their data collection and curation practices. Best practices were presented to collect demographic data about underrepresented groups and to make RAIN events more welcoming.