m-topor
commented
4 years ago During the session we would like to highlight the following with regards to neuroimaging research:
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There are many neuroimaging studies that are non-interventional and there are no tools to guide data synthesis. This impacts the quality of the produced systematic reviews and leaves room for bias.
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Due to the many decisions that can be made when conducting individual neuroimaging studies, there may be high heterogeneity among the reviewed literature which makes it difficult to synthesise which also increases the risk of bias. Specific tools guiding a systematic approach to data synthesis as well as pre-registration templates can help to mitigate these risks.
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Rigorous systematic reviews without a meta-analysis (when one may not be possible) should also be considered an important contribution to research in neuroscience
complexbrains
Improving data synthesis with open and reproducible research approaches
By Marta Topor, University of Surrey
Abstract
The discussion will focus on the current developments of data synthesis tools to allow for high quality systematic reviews and meta-analyses. Specifically, the discussion aims to address the gaps not covered by the available tools. These gaps include pre-registration and registered report templates and guidance for non-interventional research synthesis. We will emphasise the importance of data synthesis, the problems with producing inaccurate and biased systematic reviews and we will discuss solutions that can be considered now and in the future following further developments of needed tools and guides. The projects discussed during the session will include the Non-Interventional Open and Reproducible (NIRO) Systematic Reviews guidelines as well as related initiatives aiming to provide guidance for pre-registration and registered reports in meta-analyses.
Useful Links
https://osf.io/erkwa/ https://niro-sr.netlify.app/
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