Sensitive data is increasingly used for research purposes. However, there are a number of barriers which need to be overcome before sensitive data can be fully operationalized in the research context. Chief among these is that not all sensitive data is alike, with significant disciplinary variation in how sensitive data is defined, linked, managed, stored, and reused. Additionally, common approaches to data optimization are not always appropriate for sensitive data, such as the relationship between the FAIR and CARE principles for data management. Nonetheless, sensitive data has significant
The efficient and effective reuse of data requires that users, be they humans or machines, be able to find and access data at fine levels of granularity. The WG will explore key questions and collect and share valuable information for how to best support data granularity, providing guidance to help data professionals to determine the best level of granularity for user discovery, access, interoperability and citability.