Data sharing is becoming an increasingly prevalent and expected part of the
research process. Researchers may be hesitant to share datasets about human
subjects and some plant and animal species that are considered protected
data. Additionally, there may be companies, sites, or other entities that
would be put at risk if certain research data about them were shared
publicly. This presentation will address conflicts that can arise when
attempting to balance the protection of data with expectations for open
data, such as restrictive language in data use agreements, IRB protocols,
and consent forms. Audience participants will learn curation skills,
language to use to ease nervous researchers, and institutional-level
efforts to ensure safe sharing of protected data.