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ABSTRACT: Background
There is vast global inequality regarding where health research happens, who leads the research, and who benefits from the evidence. Globally, wealthier nations drive and influence data-driven research and how it is structured institutionally. Key barriers to high-quality research being undertaken in and led by low-resource settings are well reported. These barriers persist, thereby perpetuating a lack of locally generated data and/or evidence to tackle diseases that bring the greatest burden. Our aim was to design a tool to capture best practices in the production of data-driven health research, to advance both quality and quantity of research being conducted where it is needed most.Methods
An expert group of senior global health researchers from Asia, Africa, E
SUBMITTER: Uppal A
PROVIDER: S-EPMC12329893 | biostudies-literature | 2025 Aug
REPOSITORIES: biostudies-literature