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Objectives To synthesise research investigating data and code sharing in medicine and health to establish an accurate representation of the prevalence of sharing, how this frequency has changed over time, and what factors influence availability. Design Systematic review with meta-analysis of individual participant data. Data sources Ovid Medline, Ovid Embase, and the preprint servers medRxiv, bioRxiv, and MetaArXiv were searched from inception to 1 July 2021. Forward citation searches were also performed on 30 August 2022. Review methods Meta-research studies that investigated data or code sharing across a sample of scientific articles presenting original medical and health research were identified. Two authors screened records, assessed the risk of bias, and extracted summary data from study reports when individual participant data could not be retrieved. Key outcomes of interest were the prevalence of statements that declared that data or code were publicly or privately available

Ovid embaseKyungwan hongJason wasiakSteve mcdonaldHannah fraserAnisa rowhani faridOvid medlineFiona fidlerVeritas health innovationUniversity of melbourneAustralian research councilRr foundation for statistical computingDepartment of healthDrug administrationHuman servicesJohn arnold foundation