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Update docs for Git Flow section & RAPIDS paper info

models
Meng Li 2021-11-19 13:57:10 -05:00
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commit 9338f77ae6
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docs/change-log.md
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# Change Log
## v1.7.1
- Update docs for Git Flow section
- Update RAPIDS paper information
## v1.7.0
- Add firststeptime and laststeptime features to FITBIT_STEPS_INTRADAY RAPIDS provider
- Update tests for Fitbit steps intraday features

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docs/citation.md
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## RAPIDS
If you used RAPIDS, please cite [this paper](https://preprints.jmir.org/preprint/23246).
If you used RAPIDS, please cite [this paper](https://www.frontiersin.org/article/10.3389/fdgth.2021.769823).
!!! cite "RAPIDS et al. citation"
Vega J, Li M, Aguillera K, Goel N, Joshi E, Durica KC, Kunta AR, Low CA
RAPIDS: Reproducible Analysis Pipeline for Data Streams Collected with Mobile Devices
JMIR Preprints. 18/08/2020:23246
DOI: 10.2196/preprints.23246
URL: https://preprints.jmir.org/preprint/23246
Vega, J., Li, M., Aguillera, K., Goel, N., Joshi, E., Khandekar, K., ... & Low, C. A. (2021). Reproducible Analysis Pipeline for Data Streams (RAPIDS): Open-Source Software to Process Data Collected with Mobile Devices. Frontiers in Digital Health, 168.
## DBDP (all Empatica sensors)

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docs/developers/git-flow.md
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```
git checkout master
git merge --ff-only develop
git push
git push # Unlock the master branch before merging
```
1. Go to [GitHub](https://github.com/carissalow/rapids/tags) and create a new release based on the newest tag `v[NEW_RELEASE]` (remember to add the change log)
1. Release happens automatically after passing the tests
## Release a Hotfix
1. Pull the latest master
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```
git checkout master
git merge --ff-only v[NEW_HOTFIX]
git push
git push # Unlock the master branch before merging
```
1. Go to [GitHub](https://github.com/carissalow/rapids/tags) and create a new release based on the newest tag `v[NEW_HOTFIX]` (remember to add the change log)
1. Release happens automatically after passing the tests

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docs/index.md
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# Welcome to RAPIDS documentation
Reproducible Analysis Pipeline for Data Streams (RAPIDS) allows you to process smartphone and wearable data to [extract](features/feature-introduction.md) and [create](features/add-new-features.md) **behavioral features** (a.k.a. digital biomarkers), [visualize](visualizations/data-quality-visualizations.md) mobile sensor data, and [structure](analysis/complete-workflow-example.md) your analysis into reproducible workflows.
Reproducible Analysis Pipeline for Data Streams (RAPIDS) allows you to process smartphone and wearable data to [extract](features/feature-introduction.md) and [create](features/add-new-features.md) **behavioral features** (a.k.a. digital biomarkers), [visualize](visualizations/data-quality-visualizations.md) mobile sensor data, and [structure](analysis/complete-workflow-example.md) your analysis into reproducible workflows. Check out our [paper](https://www.frontiersin.org/article/10.3389/fdgth.2021.769823)!
RAPIDS is open source, documented, multi-platform, modular, tested, and reproducible. At the moment, we support [data streams](datastreams/data-streams-introduction) logged by smartphones, Fitbit wearables, and Empatica wearables (the latter in collaboration with the [DBDP](https://dbdp.org/)).