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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.
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