Paper Data Extractor

LinkML review design workbench

Review Designs

A Review Design selects and composes several Data Extraction Models into one survey-specific extraction design.

Create Review Design

Review design title The Review Design id is generated automatically from this title.

Available Data Extraction Models

Saved Review Designs

Review Design preview

Preview the extraction form generated from the composed Review Design, then download the Review Design instance or its generated artifacts.

Select Data Extraction Models and create a Review Design preview.

Model designer

Create a Data Extraction Model

Fill structured fields and the service will save a valid Data Extraction Model. No YAML editing is required.

Metadata

A Data Extraction Model is a reusable extraction model fragment. It defines dimensions, taxa, criteria, scales, and rules that can be composed into a Review Design.

TitleHuman-readable name shown in model lists. The Data Extraction Model id and source citation key are generated automatically from this title.

Optional source details

Source titleOptional publication or source title. Source authorsOptional author list separated with semicolons. Source yearOptional publication year.

Scales

A scale defines the allowed answers for criteria. Criteria reference scales by id, so define reusable scales such as yes/no, ordinal 0-2, or numeric score here.

Dimensions

A dimension is one classification axis and becomes a form field. Category dimensions contain taxa; dimensions can also contain nested subdimensions for hierarchical models.

Add at least one dimension.

Rules

Rules document how the taxonomy should be applied. They are stored with the model but are not executable validation constraints yet.