structureresults

Structureresults is a term used in data processing and software development to describe an operation or function that converts raw or semi-structured outputs into a structured, machine-readable format. It is not tied to a single library, but appears in various tooling where results from computations, analyses, or data collection need to be standardized for downstream use.

Definition and purpose

Structureresults maps inputs such as unstructured text, log lines, survey answers, or model predictions into a defined schema. The goal is to produce a consistent, queryable result across different sources. The typical output is a structured object or record set with clearly defined fields and data types.

Output and schema

Common fields include status, data, metadata, and errors, often accompanied by a timestamp and provenance information. The process may also attach identifiers for traceability and a schema version to support evolution over time.

How it works

A structureresults step usually normalizes data types, validates against the target schema, fills defaults, extracts key metrics, and attaches metadata. It may also handle nested structures, manage missing values, and surface validation messages for downstream handling.

Applications and limitations

Structureresults is used in ETL pipelines, machine learning model evaluation, reporting dashboards, and API responses to ensure consistent results. Limitations include dependence on a predefined schema, potential loss of information not mapped to the schema, and added processing overhead.

See also

Data structuring, schema, ETL, data normalization, JSON serialization.