Speaker
Description
Research institutes often host databases containing petabytes (PB) of valuable scientific data. This data can originate from different times, locations, devices, and research groups, and may be in different states of curation. Getting a visual overview of such data can therefore be challenging and time-consuming. This poster shows how AI can support the planning, building, and debugging of a complete workflow for visualising research data. Using an AI assistant, ideas were discussed, suitable tools were explored, and the setup was implemented through vibe coding. The workflow combines Docker, SQLite, and Grafana to turn data from an institutional database into an interactive dashboard. In addition to the technical workflow, the poster reflects on the challenges and learnings encountered along the way. The time and effort required are also compared to provide a practical perspective on the use of AI assistance for research data workflows. The aim is to share hands-on experiences and encourage others to explore how AI assistants can support them in working with complex research data.