Nine quick tips for open meta-analyses.

Open science principles are revolutionizing the transparency, reproducibility, and accessibility of research. Meta-analysis has become a key technique for synthesizing data across studies in a principled way; however, its impact is contingent on adherence to open science practices. Here, we outline...

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Main Authors: David Moreau, Kristina Wiebels
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2024-07-01
Series:PLoS Computational Biology
Online Access:https://doi.org/10.1371/journal.pcbi.1012252
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author David Moreau
Kristina Wiebels
author_facet David Moreau
Kristina Wiebels
author_sort David Moreau
collection DOAJ
description Open science principles are revolutionizing the transparency, reproducibility, and accessibility of research. Meta-analysis has become a key technique for synthesizing data across studies in a principled way; however, its impact is contingent on adherence to open science practices. Here, we outline 9 quick tips for open meta-analyses, aimed at guiding researchers to maximize the reach and utility of their findings. We advocate for outlining preregistering clear protocols, opting for open tools and software, and the use of version control systems to ensure transparency and facilitate collaboration. We further emphasize the importance of reproducibility, for example, by sharing search syntax and analysis scripts, and discuss the benefits of planning for dynamic updating to enable living meta-analyses. We also recommend publication in open-access formats, as well as open data, open code, and open access publication. We close by encouraging active promotion of research findings to bridge the gap between complex syntheses and public discourse, and provide a detailed submission checklist to equip researchers, reviewers and journal editors with a structured approach to conducting and reporting open meta-analyses.
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publishDate 2024-07-01
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spelling doaj-art-6f0e290ae8cd40788ca69196311803a32025-01-24T05:30:55ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582024-07-01207e101225210.1371/journal.pcbi.1012252Nine quick tips for open meta-analyses.David MoreauKristina WiebelsOpen science principles are revolutionizing the transparency, reproducibility, and accessibility of research. Meta-analysis has become a key technique for synthesizing data across studies in a principled way; however, its impact is contingent on adherence to open science practices. Here, we outline 9 quick tips for open meta-analyses, aimed at guiding researchers to maximize the reach and utility of their findings. We advocate for outlining preregistering clear protocols, opting for open tools and software, and the use of version control systems to ensure transparency and facilitate collaboration. We further emphasize the importance of reproducibility, for example, by sharing search syntax and analysis scripts, and discuss the benefits of planning for dynamic updating to enable living meta-analyses. We also recommend publication in open-access formats, as well as open data, open code, and open access publication. We close by encouraging active promotion of research findings to bridge the gap between complex syntheses and public discourse, and provide a detailed submission checklist to equip researchers, reviewers and journal editors with a structured approach to conducting and reporting open meta-analyses.https://doi.org/10.1371/journal.pcbi.1012252
spellingShingle David Moreau
Kristina Wiebels
Nine quick tips for open meta-analyses.
PLoS Computational Biology
title Nine quick tips for open meta-analyses.
title_full Nine quick tips for open meta-analyses.
title_fullStr Nine quick tips for open meta-analyses.
title_full_unstemmed Nine quick tips for open meta-analyses.
title_short Nine quick tips for open meta-analyses.
title_sort nine quick tips for open meta analyses
url https://doi.org/10.1371/journal.pcbi.1012252
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