Machine-actionable data management plans

Researchers at IMT Lucca applied natural language processing to more than 3,700 dream and waking-experience descriptions from 287 participants, finding dream content reflects a mix of personality traits and environmental context — including a detectable COVID-19 lockdown signature — rather than literal replay of daily events. The 3,700-report corpus itself raises genuine research-data-management questions: de-identifying deeply personal diary text, repository deposit, and reuse licensing.

DMPTool is rebuilding on a modern API architecture for machine-actionable DMPs. Its summer 2026 target has slipped to late 2026 after NIH/NSF changes.

RDA’s DMP Common Standard v2 reorganises the machine-actionable data management plan. A field-by-field walkthrough of what changed and why.

From PDF DMP to RDA-compliant maDMP: tooling, integration, and the new requirement for software-management plans alongside data plans.