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Prevalence and predictors of data and code sharing in the medical and health sciences: systematic review with meta-analysis of individual participant data

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

Australia
Vienna
Wien
Austria
Melbourne
Victoria
Australian
Ovid-embase
Kyungwan-hong
Jason-wasiak
Steve-mcdonald
Hannah-fraser

Early life exposures and the risk of inflammatory bowel disease: Systematic review and meta-analyses

Early life exposures and the risk of inflammatory bowel disease: Systematic review and meta-analyses
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Australia
Melbourne
Victoria
Englewood
British-columbia
Canada
Ottawa
Ontario
Covidence
Embase-ovid
Scottish-intercollegiate-guidelines-network
Global-health-ovid
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