stopdata

Stopdata is data that records the conditions, events, and metadata associated with stopping a process, task, or operation. It is collected to document why and when something ends, and to support analysis, auditing, and optimization of systems that rely on stoppage decisions.

A stopdata record typically includes fields such as stop_reason, timestamp, duration, state_snapshot, metrics_at_stop, triggering_condition, and provenance. It may be stored as structured logs or telemetry payloads and can be generated by schedulers, controllers, experiments, or monitoring systems. Stopdata concepts are used across domains, including computing, manufacturing, research experiments, and software operations.

Uses of stopdata vary by domain. In algorithmic optimization, stopdata indicates when an iteration is terminated due to convergence, resource limits, or time constraints. In manufacturing or service operations, it logs downtime and stoppages for reliability and productivity analysis. In software systems, it records graceful shutdowns, crashes, or maintenance events to aid debugging and compliance. Analyzing stopdata can reveal recurring stoppages, help tune stopping criteria, and improve overall performance or resilience.

Data quality and governance considerations for stopdata include ensuring consistency, time alignment, and privacy where appropriate. Clear schemas, validation rules, and retention policies help enable cross-system analysis, reproducibility of experiments, and auditability of decisions that lead to a stop.

See also: stop condition, termination criterion, telemetry, log, audit trail, downtime.