Before you begin Make sure screening conflicts are resolved before adding articles to Data Extraction — this avoids having to add articles again later. Create your extraction questions before your team starts extracting. See How to Create and Organize Your Extraction Questions.
Data Extraction is the stage where you capture structured data from your included articles — study design, population, intervention, outcomes, and any other variables relevant to your review. Each article is presented alongside your extraction form, and collaborators answer each question you have defined.
Access Data Extraction by clicking the Data extraction tab in the top navigation of your review.
How to add articles to Data Extraction
- Go to the Data extraction tab.
- Click Add articles in the toolbar.
- Choose your source — Included, Maybe, or Labelled — from either the Screening or Full-text screening stage.
- If you choose Labelled, select which label to use. Rayyan shows how many articles carry each label.
- Confirm the selection. Articles are added to the extraction table.
How to extract data
Click any article in the extraction table to open it. The extraction form shows all your questions organized into groups — answer each one using the response type defined. If a PDF is attached, it opens in a side-by-side view so you can read the full text while answering questions without switching between tabs.
Tracking progress
Use the Filter by status dropdown in the extraction table to filter articles by progress. The page header updates to reflect the active filter — for example, Showing 2 / 3 Not Started Articles.
- All Data — all articles added to this stage
- Not Started — no extraction has begun
- Uncompleted — some answers filled but not all required fields
- Completed — all required fields answered. Expand to filter by Completed by 1, Completed by 2, etc. to see articles finished by a specific number of reviewers.
Continue to: How to Create and Organize Your Extraction Questions