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Showing posts from November, 2018

Getting Started with GoldenCheetah OpenData

In this post I'm going to explain what the GoldenCheetah OpenData project is and how you can work with the data it has collected using Jupyter notebooks.
GoldenCheetah OpenData Project Large collections of sports workout data are generally not open to the general public. Popular sites like Strava, TodaysPlan, TrainingPeaks collect large volumes of athlete data, but quite rightly do not publish this data publicly. But there is a growing appetite for such data, to inform development of new tools and to feed into models and machine learning algorithms.

So I started a project to do it, the GoldenCheetah OpenData project. My first priority was to make sure we did the right thing, in the right way to protect user privacy and comply with GDPR regulations. As a result, we anonymise all the data before sending it out of GoldenCheetah and remove personally identifiable information and personal metadata. Crucially, we get the user's explicit consent to share anything (and offer options t…