Working together, DataCite and CDL have developed a set of Jupyter notebooks to demonstrate the power of networked, machine-actionable Data Management Plans (maDMPs) and to explore the potential connections of DMPs with other scholarly content (data, software, etc.) and with other PIDs (funder IDs, grant IDs, ORCIDs) via activities with the PID Graph. Utilizing open PIDs and PID services such as Event Data allow machine-actionable DMPs to connect all resources associated with a DMP such as contributors to a project, project outputs, data repositories, and funders. A healthy, open research infrastructure is key to enabling these connections and the open, declared connections between resources fuel the potential of machine-actionable DMPs to enable the tracking and updating of DMPs as research progresses over time.