Managing data at scale in high-performance computing (HPC) environments requires efficient storage and retrieval strategies. Automated tiered storage solutions enable seamless migration of aged data to lower-cost archival tiers while maintaining accessibility. Enriched metadata—spanning tagging, search, discovery, and data provenance—enhances data usability and long-term value. This approach not only optimizes storage costs but also empowers researchers with better data discovery and reuse. Real-world HPC use cases demonstrate how metadata-driven workflows streamline research, ensuring that critical datasets remain accessible and actionable over time.
