GenAI For Research Support: A Case To DMPs Pre-Filling

Researchers find preparing data management plans (DMPs) time consuming and see data stewards as an appealing solution for filling them in on their behalf. At Eindhoven University of Technology (TU/e), data stewards support in filling DMPs is limited by the knowledge on the research topic. Advances in technological solutions are perhaps the most feasible way to support researchers in filling their DMPs before the data stewards final approval. At TU/e different research support groups, such as the Research Data Infrastructure (RDI) and the Data Stewards (DS), have initiated a collaboration with an external party to develop a GenAI tool that would directly and automatically extract the relevant information from research proposals and to pre-fill the DMPs. The tool is able to extract structured metadata from research proposals, based on a user-defined schema specifying the desired metadata attributes, e.g., research goals, presence of human participants, data origin and size, etc. (including a description per metadata attribute).