#data-extraction-techniques
5 articles
Avoid Weeks of Rework: Extraction Form Design for Systematic Reviewers
Checklist for systematic reviewers to design, pilot, version, and validate extraction forms. Pilot 3 to 5 studies and verify AI output.
5 Practices for Reproducible Data Extraction by Review Teams
Method first steps for review teams to produce machine readable extraction: pilot 3–5 studies, dual extract critical fields, validate LLMs.
Pilot 50–100 Records First: Scoping Review Screening With PRISMA-ScR Exports
Practical, tool friendly workflow for scoping review screening: two-stage screening, pilot 50–100 records, blinded dual reviewers, and PRISMA-ScR ready...
Review Teams: PRISMA Screening Workflow for Stepwise Counts and AI
A practical PRISMA 2020 workflow for review teams: follow stepwise counting rules, report automation and reviewer roles correctly, and map AI outputs...
Double Data Extraction for Reviewers, Practical Hybrid Workflow
Evidence-first guide for review teams on double data extraction. See what trials show about error reduction, when single extraction is enough, and how to...