This document summarizes work on developing machine-actionable data management plans (DMPs). It discusses a workshop at CERN where participants from different fields and countries explored how to make DMPs more active and enable data to be exploited over the long term. Key points included identifying use cases, understanding researcher needs, and prioritizing interoperability, persistent identifiers, capacity planning, and increasing data discovery and reuse. Next steps include developing pilot projects to test machine-actionable DMPs in practice.