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Aalto University's Data Agents team developed an AI Data Management Assistant: a system prompt that turns a general LLM chatbot into a guided planning conversation about research data. It interviews the user about their project, data types, and role.; gives guidance on storage, personal data, ethics, licensing, repositories, and funder requirements; routes sensitive topics to the right services; and produces draft notes ready for the institutional DMP tool. This effort aims to use AI tools to help researchers with their data management plans and bring the right services to their attention when they need them most, and it can be transferred to other organisations. Learn more about how to use this tool, along with its limitations and risks, and the critical points to raise when teaching researchers to use AI for RDM. What this presentation: The DMP pain points Meet the assistant Choosing the right LLM model Hands-on case study Safe AI use & boundaries Links & resources: Event Information: Aalto University Event Page (Nov 5, 2026) Slide Source & Typst Template: GitHub Repository (p3d2/aalto-slides-template) System Prompt Source: Aalto GitLab RDM Assistant Repository Aalto AI Assistant: ai.aalto.fi Aalto Research Data Support: researchdata@aalto.fi Acknowledgements: Developed with contributions and feedback from Enrico Glerean, Antti Rousi, Jannika Rinnejärvi, and Emrecan Gulay across Aalto Scientific Computing, Aalto Data Agents, and Research Services. All illustrations are © 2026 Pedro Silva and licensed under CC BY 4.0.
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Pedro E. S. Silva (2026) studied this question.
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