Complete data extraction for your study
How to complete data extraction with Covidence
With the screening process complete, review teams take on the task of data extraction. This involves extracting relevant data from included studies and entering it into a data extraction template. Data extraction can be a time-consuming process, but it is essential for ensuring that the review is accurate and comprehensive.
To find more information on extracting data in Covidence, check out the Covidence Knowledge Base.
Covidence has recently updated its data extraction and quality assessment features. New reviews will default to the updated Data Extraction 20 template, which includes a number of new features and improvements.
Select a data extraction tool
There are a number of different data extraction tools available, each with its own advantages and disadvantages. Some of the most popular tools include:
- Covidence
- DistillerSR
- EPPI-Reviewer
- Cochrane Review Manager
When selecting a data extraction tool, it is important to consider the following factors:
- The number of studies you will be extracting data from
- The complexity of the data you will be extracting
- Your budget
- Your technical expertise
Covidence makes data extraction easy
Covidence is a web-based data extraction tool that is designed to make the process of data extraction as easy and efficient as possible. Covidence offers a number of features that make it a great choice for researchers, including:
- A user-friendly interface
- A library of pre-built data extraction templates
- The ability to collaborate with other researchers
- Automatic quality control checks
If you are looking for a data extraction tool that is easy to use, powerful, and affordable, then Covidence is the perfect choice for you.
Conclusion
Data extraction is an essential part of the systematic review process. By following the steps outlined in this article, you can ensure that your data extraction is accurate and complete. This will help you to produce a high-quality systematic review that is informative and useful to other researchers.
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