extraction-form

To extract study data into a structured CSV table, use a predefined protocol schema that converts unstructured paper content into analysis-ready data. This process systematically populates specific fields like study design and demographics based on your included studies.

Automating data extraction for a systematic review requires a screening log of included papers and a protocol file defining the exact extraction fields. These inputs ensure the structured output strictly follows your predefined schema for consistency.

Yes, using a protocol schema ensures consistent data extraction across multiple studies. The process strictly follows the field definitions defined in your protocol file, converting unstructured research paper content into a standardized analysis-ready table.

Structured data extraction works directly with a predefined screening log by using it to identify included research papers. It then processes these specific papers to populate your CSV table according to the defined protocol schema.

The best way to convert unstructured paper content into analysis-ready data is through protocol-driven structured data extraction. This method automatically populates a CSV table with key information like outcome measures based on your predefined schema.