NRP describes the operational handoffs behind shared research capacity

Speak with computing directors and laboratory teams facing irregular demand or scarce systems staff. Ask which workloads can tolerate opportunistic execution, who handles physical incidents and whether remote management is acceptable. Offer a limited integration assessment on public research data. The value hypothesis is better use of existing equipment, tested locally. Do not promise guaranteed burst capacity, elimination of campus staffing or approval to host sensitive data. Include both shared-service and local support responsibilities in qualification.

Map management access, cluster credentials, dataset locations and application dependencies before connecting a node. Use a restricted test environment and explicit remote-access authorization. Validate contributor-priority behavior, interruption recovery and artifact integrity under contention. Compare transfer and queue time with the existing cluster, rather than assuming a shared API removes all integration cost. Proposed validation should include revoked access, failed networking and unavailable local support. Keep scientific acceptance independent of infrastructure availability.

Name a campus computing owner and agree an escalation path with the platform operator. Dependencies include network approval, hardware compatibility, local maintenance staff and permitted test data. Train researchers on checkpointing and documented resource expectations. Proposed acceptance criteria include a successful recovery exercise, verified access revocation, repeatable job artifacts and measured support effort during the pilot. Review accessibility of notebook and support workflows. Risks include misunderstood priority, excessive management privilege and an unowned physical failure during a research deadline.