3. From data to scalable AI - FAIR‑aligned data lifecycle management for AI & HPC

📌 Section at a glance

The first part provides a high-level overview, risks, and practical checks for decision-makers and readers skimming for relevance. The rest of the section goes into detail for teams designing or operating AI and HPC data workflows.

This section explains how managing data across its full lifecycle enables reliable, scalable AI and HPC workflows. It shows how planning, collection, storage, processing, documentation, preservation, and reuse are interconnected and how problems in one stage quickly affect the rest. The aim is to make data FAIR-aligned and AI-ready, so that expensive compute resources are used efficiently and results remain reproducible and reusable.