Based upon the key objective of the FAIR principles referred to as “machine-actionability” - the capability of software agents or “machines” to handle data autonomously and appropriately with little or without human intervention - we adapted the concept of a “machine-actionable data management plan” (maDMP). The maDMP for DiSSCo is designed as a continuously self-updating structure which is a FAIR Digital Object itself and offers significantly more options over the traditional approach of research data management (RDM) driven by static documents and reports. The maDMP enables flexible integration of all relevant information in the data life cycle as well as the creation of downscaled reports containing structured data. Consequently, it facilitates data discovery and reuse, and supports automated evaluation and monitoring.