Accelerating wellbeing data analysis
Our wellbeing data usage library shares free-to-use code making data more accessible and easy to use
Our role is to support the research community in measuring wellbeing openly, iteratively, robustly and in an accessible way. To help achieve this we have published free-to-use code for data cleaning.
The purpose of the initiative is to:
- make our own methods visible and transparent, which offers opportunity for quality review and makes research more robust
- make wellbeing data more accessible by reducing resource barriers
- create a way to track and understand what researchers are working on, which will feed into future reviews and help inform policymaking
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