Actionraw

Actionraw is a term used in technical discourse to describe raw representations of actions or events that have not been processed or interpreted. It is not a formal standard; rather, it is a descriptive label applied in documentation and discussions to distinguish unstructured or minimally structured data from curated datasets or summarized analytics. The scope of actionraw varies by domain but generally centers on unfiltered action data.

In software engineering and analytics, actionraw logs or streams capture discrete user or system actions with minimal transformation. Common fields include timestamp, actor or source, action_type, target, outcome, and duration, with optional context such as device, location, or session. Actionraw data is intended for low-latency ingestion and subsequent processing in event stores, replay engines, or machine-learning pipelines. The approach supports flexible schema evolution and can facilitate debugging, behavior analysis, and automated testing by preserving the original, unaggregated action records.

In media production and creative technology, actionraw can refer to workflows that preserve raw, uncompressed information related to action sequences, enabling high-fidelity post-processing. The term may appear as branding or as a general descriptor for raw-action capture in cameras, software suites, or pipelines, and usage is not standardized across vendors or projects.

See also: event log, telemetry, raw data, action taxonomy.