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

ABSTRACT:

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 e

SUBMITTER: Hamilton DG 

PROVIDER: S-EPMC10334349 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature