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    Rates and predictors of data and code sharing in the medical and health sciences: Protocol for a systematic review and individual participant data meta-analysis

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    Author
    Hamilton, Daniel G
    Fraser, Hannah
    Fidler, Fiona
    McDonald, Steve
    Rowhani-Farid, Anisa
    Hong, Kyungwan
    Page, Matthew J
    Date
    2021-06-22
    Journal
    F1000Research
    Publisher
    F1000 Research Ltd
    Type
    Article
    
    Metadata
    Show full item record
    See at
    https://doi.org/10.12688/f1000research.53874.2
    Abstract
    Numerous studies have demonstrated low but increasing rates of data and code sharing within medical and health research disciplines. However, it remains unclear how commonly data and code are shared across all fields of medical and health research, as well as whether sharing rates are positively associated with implementation of progressive policies by publishers and funders, or growing expectations from the medical and health research community at large. Therefore this systematic review aims to synthesise the findings of medical and health science studies that have empirically investigated the prevalence of data or code sharing, or both. Objectives include the investigation of: (i) the prevalence of public sharing of research data and code alongside published articles (including preprints), (ii) the prevalence of private sharing of research data and code in response to reasonable requests, and (iii) factors associated with the sharing of either research output (e.g., the year published, the publisher's policy on sharing, the presence of a data or code availability statement). It is hoped that the results will provide some insight into how often research data and code are shared publicly and privately, how this has changed over time, and how effective some measures such as the institution of data sharing policies and data availability statements have been in motivating researchers to share their underlying data and code.
    Rights/Terms
    Copyright: © 2021 Hamilton DG et al.
    Keyword
    Code sharing
    Data sharing
    Health sciences
    Medicine
    Meta-analysis
    Systematic review
    Identifier to cite or link to this item
    http://hdl.handle.net/10713/16858
    ae974a485f413a2113503eed53cd6c53
    10.12688/f1000research.53874.2
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