How should evidence be used to make decisions, if the evidence is synthesized at a global scale, across many different contexts, but the decisions are made at a local scale, in a context that differs from the global average?
Metadataset enables users to interact with a global evidence base, to find evidence that is relevant to their decisions. As well as browsing our evidence maps to find publications on a specific intervention, outcome, or country, you can also try a new method of interactive evidence synthesis that we call "dynamic meta-analysis".
Please see our publication in BMC Biology, or watch this video for an introduction to dynamic meta-analysis on Metadataset (which currently shows a previous interface to the prototype app).
Dynamic meta-analysis is our method of improving the transferability of evidence from a global meta-analysis to a local decision. Metadataset provides two options for dynamic meta-analysis:
- (1) filtering, in which studies can be excluded from a meta-analysis if they are not relevant to that context ("subgroup analysis" and "meta-regression"; the former is implemented on the prototype app), and
- (2) weighting, in which studies can be given a lower weight if they are less relevant to that context ("recalibration").
To see how dynamic meta-analysis works, please click here to go to our prototype app containing data on invasive species.
Please feel free to contact us if you have any questions or suggestions, or if you would like to collaborate with us. We are based in the Conservation Evidence group at the University of Cambridge.
We thank the Leventis Foundation and the David and Claudia Harding Foundation for funding our work. Our work is part of BioRISC (the Biosecurity Research Initiative at St Catharine's College, Cambridge).