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Nine quick tips for open meta-analyses.

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This guide offers nine tips for conducting open meta-analyses, emphasizing transparency and reproducibility. Adopting open science practices maximizes research impact and accessibility for broader discourse.

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Area of Science:

  • Research Methodology
  • Scientific Communication

Background:

  • Open science principles enhance research transparency, reproducibility, and accessibility.
  • Meta-analysis is crucial for synthesizing study data but relies on open science practices for maximum impact.

Purpose of the Study:

  • To provide nine actionable tips for conducting open meta-analyses.
  • To guide researchers in maximizing the reach and utility of their meta-analytic findings through open science.

Main Methods:

  • Advocating for preregistered protocols and open-source tools.
  • Emphasizing reproducibility via shared search syntax and analysis scripts.
  • Recommending open data, open code, and open-access publication.

Main Results:

  • Open meta-analyses improve transparency and collaboration through shared protocols and version control.
  • Reproducibility is enhanced by sharing analytical components.
  • Dynamic updating facilitates living meta-analyses.

Conclusions:

  • Implementing open science practices in meta-analysis is essential for robust and accessible research.
  • Active promotion of findings bridges the gap between complex syntheses and public understanding.
  • A submission checklist aids researchers, reviewers, and editors in open meta-analysis conduct and reporting.