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data-extraction

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Structured data extraction for reviews.

Data & Analytics#traceability#meta-analysis#data-extraction#systematic-reviews#Cochrane#JBI
Authorshaitamam-80
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill helps researchers extract and organize data from clinical studies for systematic reviews and meta-analyses, ensuring accuracy, traceability, and consistent reporting.

Core Features & Use Cases

  • Template-driven extraction: Guides users to fill in study characteristics, outcomes, and effect estimates using Cochrane/JBI templates.
  • Support for multiple designs: Handles RCTs, cohorts, prevalence studies, and qualitative research with design-specific considerations.
  • Data integrity & transparency: Distinguishes reported data from calculated values (e.g., SD from SE or CI) and flags uncertainties for follow-up.
  • Outputs ready for analysis: Produces analysis-ready datasets and documentation for meta-analysis workflows.

Quick Start

Use the data-extraction skill to begin extracting data from a downloaded study PDF or to load a blank extraction template.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: data-extraction
Download link: https://github.com/shaitamam-80/shaitamamMedAIHub/archive/main.zip#data-extraction

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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