Systematic Reviews & Meta-analyses: Data
Extraction

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Get Started

Develop a Targeted Question

Eligibility Criteria

Guidelines & Protocols

Search

Study Selection

Critical Appraisal

Data Extraction

Data Synthesis & Meta-Analysis

Archiving and Updating

Tools

Templates

Consultation Services

Readings & Sources

Request a consultation:

• Email: srconsultation-g@vt.edu
• In your email, let us know your current project research focus, planning stage, timeline, and goals. 

Cozette Comer, Evidence Synthesis Librarian, Liaison Librarian: Statistics and Computational Modeling & Data Analytics, cozette@vt.edu

Kiri DeBose, Head, Veterinary Medicine Library & Liaison to Animal Sciences, kdebose@vt.edu

Ginny Pannabecker, Liaison Librarian: Biochemistry, Biocomplexity Institute, Biological Sciences, Biomedical Engineering and Mechanics, Neuroscience, and Systems Biology; Director, RCE, vpannabe@vt.edu

At a minimum, Data Extraction includes: Study Characteristics; with particular detail related to characteristics, Outcome Measures of interest, and Results that you may use in data synthesis.

Data Extraction Planning:

• Develop and pilot test a form for data extraction to:
  • Ensure that you are including a prompt to pull information you will need to describe the studies and for data synthesis/analysis
  • Test and ensure inter-rater reliability in extracting data from studies 

Data Extraction Elements:

• Consider your research question components and objectives
• Consider your study eligibility (inclusion / exclusion) criteria
• Study characteristics - This information, or a summarized version will form a preliminary table summarizing all included studies, titled as (or similar to): TABLE 1 - Study Characteristics. Examples of characteristics included:
  • Full citation 
  • Location
  • Duration
  • Objectives
  • Intervention / object of study
  • Study Design and Methodology
  • Outcome Measures
  • Results