Definition · Plain-language
Rayyan
Rayyan is a free, web-based collaboration platform designed to help researchers quickly screen titles and abstracts for systematic reviews and meta-analyses.
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Rapid Title and Abstract Screening
Rayyan is optimised for the screening phase, where speed is critical. It features a clean, keyboard-accessible interface that allows reviewers to label papers as include, exclude, or maybe with a single keystroke. It supports large datasets, handling tens of thousands of imported citations from databases like PubMed, Embase, and Web of Science without performance lag. This rapid screening capability is particularly useful for large-scale systematic reviews with tight deadlines and high volume. By streamlining the initial filtering process, Rayyan helps researchers quickly exclude irrelevant literature, allowing them to allocate more time to the in-depth analysis of the included studies and eventual writing.
Double-Blind Review and Collaboration
To maintain research integrity, Rayyan allows teams to screen papers in a double-blind mode, hiding collaborator decisions and annotations. Once screening is complete, the blind can be turned off to reveal conflicts. The platform displays these conflicts in a dedicated view, allowing the team to discuss and resolve discrepancies efficiently. This independent assessment process is crucial for minimising selection bias. The platform's collaborative features enable international research teams to work together seamlessly, tracking progress and sharing insights in real time, which enhances the overall quality and consistency of the systematic screening workflow, ensuring high standards are met. This collaborative efficiency helps research teams complete the screening phase much faster than traditional manual spreadsheets allow.
AI-Assisted Screening and Filtering
Rayyan integrates a basic machine learning system called the five-star relevance predictor. As reviewers screen papers, the algorithm learns the inclusion criteria and assigns a star rating to the remaining unscreened papers. This helps researchers prioritise highly relevant articles, which is particularly useful for large reviews with tight deadlines. The predictor continuously refines its recommendations as more decisions are recorded, helping teams identify key publications early in the process. While the AI assists in sorting the data, all final decisions remain under human control, ensuring that the review meets rigorous academic and methodological standards throughout the workflow. This blend of machine learning and human expertise represents a significant advancement in evidence-based research methodologies.
Key facts
At a glance
- Rayyan was developed by the Qatar Computing Research Institute as a free tool for researchers.
- It is designed to handle very large systematic reviews, supporting over 100,000 citations.
- The platform offers mobile apps for iOS and Android, allowing offline screening on the go.
- Its relevance predictor algorithm ranks unscreened papers based on active screening decisions.
- It includes automated deduplication features to clean imported citation libraries.
Common misconceptions
What people often get wrong
Often heard: Rayyan manages the entire systematic review process, including full-text data extraction.
Actually: Rayyan is primarily designed for the initial screening phase; it lacks the advanced, structured data extraction templating found in platforms like Covidence.
Often heard: The AI relevance predictor in Rayyan makes final inclusion decisions automatically.
Actually: The predictor is a sorting aid to help researchers prioritise their work; all final screening decisions must be made by human reviewers.
Often heard: Rayyan requires a paid subscription for collaborative reviews.
Actually: Rayyan offers a robust free tier that supports collaboration and double-blind screening, though paid tiers add advanced support and storage features.
Common questions
FAQ
How do I import articles into Rayyan?+
You can import citations in standard formats like EndNote XML, RIS, or BibTeX, which can be exported from databases such as PubMed, Scopus, or Ovid.
What does the "blind" feature do in Rayyan?+
The "blind" feature hides all screening decisions, tags, and notes made by other team members, ensuring that each reviewer assesses the papers independently to prevent bias.
