In this paper we discuss the notion of research data for the field of
mathematics and report on the status quo of research-data management and
planning. A number of decentralized approaches are presented and compared to
needs and challenges faced in three use cases from different mathematical
subdisciplines. We highlight the importance of tailoring research-data
management plans to mathematicians' research processes and discuss their usage
all along the data life cycle
