- Borrow & Request
- Collections
- Help
- Meet & Study Here
- Tech & Print
- About
Data extraction from the final set of studies included in the review allows for the completion of several review-related tasks (Adams, 2023):
The Cochrane Handbook (Li et al., 2019) recommends that "more than one person extract data from every report to minimize errors and reduce introduction of potential biases by review authors." Also recommended is that "it is preferable that data extractors are from complementary disciplines, for example a methodologist and a topic area specialist."
References:
Data extraction tools can be quite simple or complex. The form used will be as long or short as necessary to extract and code the information pulled from the studies included in the review.
Simple (selected)
Complex (selected)
Data extraction can be simple or complex according to the requirements of the project. The examples presented here show excerpted data summaries or descriptions of the data extracted as their corresponding data extraction forms were not available.
Below, the excerpt of a summary table for employability assessment instruments in the field of engineering (Zahn et al., 2025) shows several of the data elements that were extracted from the included studies (description of employability assessment, indicators of employability).
Below the description of extracted data elements is extensive for a study of covid vaccine efficacy in immunocompromised patients (Lee et al., 2022) and includes study characteristic elements; participant elements; intervention elements; and outcome elements.
References:
121 The Valley Library
Corvallis OR 97331–4501
Phone: 541-737-3331