40 lines
2.2 KiB
ReStructuredText
40 lines
2.2 KiB
ReStructuredText
Quick Introduction
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==================
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The goal of this pipeline is to standardize the data cleaning, featuring extraction, analysis, and evaluation of mobile sensing projects. It leverages Cookiecutter_, Snakemake_, Sphinx_, Scypy_, R_, and Conda_ to create an end-to-end reproducible environment that can be published along with research papers.
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At the moment, mobile data can be collected using different sensing frameworks (AWARE_, Beiwe_) and hardware (Fitbit_). The pipeline is agnostic to these data sources and can unify their analysis. The current implementation only handles data collected with AWARE_. However, it should be easy to extend it to other providers.
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We recommend reading Snakemake_ docs, but the main idea behind the pipeline is that every link in the analysis chain is a rule with an input and an output. Input and output (generally) are files, and these files can be manipulated using any programming language (although Snakemake_ has wrappers for Python_, R_, and Julia_ that can make development slightly more comfortable). Snakemake_ also allows us to spread the execution of rules over multiple cores, which means that a single analysis pipeline can be executed in parallel for all participants in a study without any code changes.
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Available features:
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- :ref:`sms`
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- :ref:`calls`
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- :ref:`bluetooth`
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- :ref:`google-activity-recognition`
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- :ref:`battery`
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- :ref:`location-features`
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- :ref:`screen`
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- :ref:`light`
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- :ref:`accelerometer`
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- :ref:`applications_foreground`
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- :ref:`fitbit-heart-rate`
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- :ref:`fitbit-steps`
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Applications_foreground
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We are updating these docs constantly, but if you think something needs clarification, feel free to reach out or submit a pull request in GitHub.
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.. _Cookiecutter: http://drivendata.github.io/cookiecutter-data-science/
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.. _Snakemake: https://snakemake.readthedocs.io/en/stable/
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.. _Sphinx: https://www.sphinx-doc.org/en/master/
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.. _Scypy: https://www.scipy.org/index.html
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.. _R: https://www.r-project.org/
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.. _Conda: https://docs.conda.io/en/latest/
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.. _AWARE: https://awareframework.com/what-is-aware/
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.. _Beiwe: https://www.beiwe.org/
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.. _Fitbit: https://www.fitbit.com/us/home
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.. _Python: https://www.python.org/
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.. _Julia: https://julialang.org/ |