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
Many research funding agencies expect DMPs which receive valuable metadata about the project as well as collected and analyzed data. In order to use DMPs profitably for researchers in their everyday life and not to create another bureaucratic hurdle, adjustments are needed on the side of the tool providers as well as in the templates.