Speaker
Description
The performance and adoption of cloud-provided services has made petabyte-scale datasets from diverse missions increasingly available, yet accessibility without usability diminishes their scientific value. The FAIR data principles—Findable, Accessible, Interoperable, and Reusable—provide a strong framework for evaluating dataset utility. However, an equally critical and often underemphasized dimension is timeliness: the speed at which newly acquired data becomes available to users. A common question from users highlights this challenge: "Why does the archive only extend to a certain date, and when will newer data be available?"
Addressing this gap requires overcoming significant logistical and technical barriers, particularly when replicating and maintaining over 1.5 petabytes of NASA mission data across heterogeneous archives. We present our experiences with HelioCloud in enhancing data availability timelines from months to days. We discuss the operational strategies, new utilities, challenges and results that highlight this shift while maintaining data integrity and accuracy. Improving data ingestion helps provide research opportunities for the curious minds of our HelioCloud users.