Supporting the research data management workflow from start to finish through RAiD

The Dutch National pilot within the OSTrails project explores how machine actionable data management plans (maDMPs) can support researchers and research institutions in keeping knowledge connected. The work in the pilot is covering two broad aspects: (1) the affordances of machine actionability in research data management and (2) the contextualisation of digital objects within the research ecosystem through linking various PIDs. In this short presentation we will focus on three of the six deliverables in the pilot: PID-ifying DMP templates Interoperating machine actionable DMPs via RAiD Extending scientific knowledge graph with DMPs DMPs play a multifaceted role in the research process, one of them being a place where project information is captured during the planning phase of research. Through the integration of RAiD in this early phase we ensure that PIDs are captured early on, so that an open and up-to-date record of the project is findable and accessible. Candidate PIDs in this workflow are GrantIDs for funding, ORCIDs for project members, but also DOIs of datasets that are being reused in the project. In addition, the DMP itself can be included in the RAiD record so that it remains discoverable throughout and after the project. This approach is built on the logic that research information (including PIDs) should flow naturally as a by-product of research, not as an administrative afterthought. It draws inspiration from the concept behind the RAiD identifier service, where research context is enriched through linking different PIDs dynamically over time rather than recorded only at the end of a project, or when reporting is required. In this short presentation we demonstrate this workflow using a prototype and discuss the challenges that we foresee for institutions wanting to implement maDMPs and RAiD.