Designed a comprehensive infrastructure framework for DTU impacting 14 departments, featuring flexible modules, unified data pipelines, and structured support strategies for long‑term adoption.

Situation. At a research institute comprising 14 diverse research groups, each group worked with varying data sources, formats, scales, and software tools. The technical expertise and available IT resources varied widely across the groups. While a few had managed to create and deploy custom IT solutions, many struggled with the complexity of their data infrastructure needs, diverting valuable time and focus from their core research work.

Task. The task was to devise a solution that would allow researchers to focus on their scientific work rather than IT challenges. The goal was to design and implement a scalable, institute‑wide data infrastructure that could accommodate the broad and differing requirements of the majority of research groups.

Action. A robust, forward‑thinking infrastructure plan was developed that balanced flexibility and standardization. The plan outlined key components such as modular architecture, integration pathways for diverse data sources, user‑friendly interfaces tailored to varying technical skill levels, and scalable storage and processing solutions. It also included strategies for onboarding, support, and governance to ensure adoption and sustainability.

Result. The resulting infrastructure plan was both technically sound and strategically aligned with the institute’s research goals. It unified the vision for data management across the organization, provided a clear path to reducing IT burden on researchers, and laid the foundation for a shared, efficient, and future‑ready research data environment. The plan was well received for its inclusivity, clarity, and adaptability, setting a strong direction for the institute’s data infrastructure transformation.