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As part of the ongoing development of GoldenCheetah we are implementing models from the literature and elsewhere. As we start to exploit machine learning capabilities we now need lots of data to train and evaluate algorithms.
It turns out that we are not alone. Academics and practitioners are also keen to get hold of endurance exercise data to search for insights and test hypothesise.
Since there are many thousands of GoldenCheetah users around the world we thought it would be great if we gave them an opportunity to participate in development by sharing their data -- then thought, why not make it available to others too.
We have added functions to GoldenCheetah 3.5 to enable users to send anonymised and aggregate data to a private staging server. Once we have a sufficient level of data we will collate and publish to the OpenData site.
It is likely to take 6 months from the release of GoldenCheetah 3.5 for sufficient data to have arrived and for the data to be collated into a usable format. This means we are likely to start publishing in Q3 or Q4 of 2018.
At present data is collected via the GoldenCheetah application. So if you are a user you can contribute your data automatically (with consent of course).
We may open up the API to enable other platforms to contribute data at a later date.
All data is anonymised before it is sent, it contains no metadata or personally identifiable information. A unique UUID is allocated to you by GoldenCheetah and used to track data so you can delete it at a later date on request. The UUID is not published and the only person that can match the data to your UUID is you.
Yes. The staged data contains your UUID, you can request that your data is removed from this staged data so it is never published again.
We are fully compliant with GDPR, your consent is mandated before contributing the data. Our privacy policy outlines the way data will be used and staged data is always encrypted.
Please read our privacy policy.