AGU’s Findable, Accessible, Interoperable, and Reusable (FAIR) data principles are creating awareness for improving the way science and research are conducted and products disseminated. Although there is a growing acceptance of FAIR principles and an associated growing demand for data, applications of FAIR are complicated by the need to preserve data ownership, privacy, and integrity. These challenges are exacerbated when dealing with transboundary and multi-jurisdictional issues. The FAIR data principles clearly state that “FAIR data and open data are different, although there are similarities,” so how can we continue to strengthen FAIR data principles, while also addressing inherent and very real data concerns? For this session, we encourage submissions, especially case studies, describing innovative approaches, technologies, tools, polices, or governance models that enable FAIR data while addressing obstacles associated with data ownership, privacy, and integrity issues.