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Setting standards for data collection, data curation and data sharing 

There is a lot of variation in how circadian data, and associated mental health data, are collected, described and processed. However, for data to be shareable, it needs to be in a common format.

We aim to contribute standardised approaches to maximise the impact of data collected across the research community. To do this, we will:

  • work with the research community to co-produce approaches to develop common standards

  • use FAIR data principles to guide this production (Findability, Accessibility, Interoperability and Reusability)

  • work closely with our LEAP group to address any ethical concerns that may arise during this process

  • share our approaches with the wider research community

Lead by

Andrew Millar

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James Hodge

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