The GoldenCheetah Open Data project was started in January 2018.
It aims to create an open access database of endurance exercise data for use by amateurs, academics and professionals.
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The data is entirely anonymised, no personally identifiable information is stored or made available.
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We store one file per athlete, with each file containing a summary json plus csv files for each activity
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We publish the actual data to an Open Science Framework project here: https://osf.io/6hfpz/ (DOI 10.17605/OSF.IO/6HFPZ)
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From November 2018 we additionally published the data to a publically readable AWS S3 bucket: http://goldencheetah-opendata.s3-website-us-east-1.amazonaws.com/
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This repo provides tools for working with the data. There already is a Python library available, see documentation for more details.
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An R library for working with GoldenCheetah OpenData has been published by Ioannis Kosmidis, see here: https://github.com/ikosmidis/GoldenCheetahOpenData