Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Jul 16, 2026

Rup (RNA-seq Usability Assessment Pipeline) - Quality Control for Bulk RNA-seq Experiments in Eukaryotes
05:07

Rup (RNA-seq Usability Assessment Pipeline) - Quality Control for Bulk RNA-seq Experiments in Eukaryotes

Published on: November 7, 2025

Enhancing Transparency, Auditability, and Reproducibility of Deduplication in Systematic Reviews: Tutorial for the

Mimi M Kim1, Amin M Shanaa1, Hossam Hammady1

  • 1Rayyan Systems Inc., 1 Broadway, 14th Floor, Cambridge, MA, 02142, United States, 1 617 453-2567.

Interactive Journal of Medical Research
|July 14, 2026
PubMed
Summary

Related Concept Videos

Systematic Error: Methodological and Sampling Errors01:15

Systematic Error: Methodological and Sampling Errors

In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Commentary - A Synthesis of Qualitative Research in Program Evaluation: Considerations for a Community-Engaged Approach.

Evaluation & the health professions·2025
Same author

Trust in Community-Engaged Research Partnerships: A Methodological Overview of Designing a Multisite Clinical and Translational Science Awards (CTSA) Initiative.

Evaluation & the health professions·2019
See all related articles

The Rayyan Method enhances systematic review deduplication with user-controlled criteria, improving transparency and reproducibility. This approach ensures rigorous methodology by allowing research teams to define and document their own duplicate detection standards.

Area of Science:

  • Information Science
  • Medical Informatics
  • Research Methodology

Background:

  • Systematic reviews require rigorous deduplication of search results.
  • Existing automated deduplication tools often lack transparency, auditability, and reproducibility.
  • Automated tools can introduce bias and false positives, impacting review integrity.

Purpose of the Study:

  • To introduce the Rayyan Method and its Systematic Auto Resolver for enhanced deduplication in systematic reviews.
  • To provide a transparent, auditable, and reproducible deduplication process.
  • To empower research teams with user-controlled deduplication criteria.

Main Methods:

  • The Rayyan Method combines high-sensitivity duplicate detection with user-controlled resolution.
Keywords:
deduplicationevidence synthesissoftware demonstrationsystematic review methodologytransparency

Related Experiment Videos

Last Updated: Jul 16, 2026

Rup (RNA-seq Usability Assessment Pipeline) - Quality Control for Bulk RNA-seq Experiments in Eukaryotes
05:07

Rup (RNA-seq Usability Assessment Pipeline) - Quality Control for Bulk RNA-seq Experiments in Eukaryotes

Published on: November 7, 2025

  • Systematic Auto Resolver allows definition, application, and documentation of custom deduplication standards.
  • Users iteratively review results, maintaining full control over methodological decisions.
  • Main Results:

    • The Rayyan Method addresses limitations of current deduplication approaches.
    • It enhances efficiency, transparency, and reproducibility in systematic reviews.
    • User-controlled resolution supports methodological rigor.

    Conclusions:

    • The Rayyan Method aligns with rigorous systematic review processes.
    • It empowers research teams to define their own deduplication criteria.
    • Provides a citable framework for documenting deduplication methodology.