This repo contains software for ETL pipelines and research tools for the Neuropsychology and Aging Laboratory. The EMMA study is a research program being conducted by Dr. Schmitter-Edgecombe at Washington State University. This project is funded by the Department of Defense and has been reviewed and approved by the Washington State University Institutional Review Board. In this repo,
you will find software used in the EMMA data-wrangling procedures, research querying tools, and the dashboard UI which is a web-based application.
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The GSUR program is to explore the links between such diverse and yet complementary disciplines of computer science, electrical engineering, nursing, sociology, medicine and clinical psychology. The neuropsychology and aging laboratory uses this code to compile and transform raw data from the EMMA project. It uses JSON to define complicated variables that researchers wish to extract from the EMMA application. The data-wrangling software can automatically extract, transform, and load incoming data into mySQL databases. Researchers can further query the data through a specialized querying application to interact with weekly calculation tables. The EMMA Dashboard is also available as a web-based UI to provide a snapshot of how participants are progressing through the study.
Depending on which tools you intend to use, you will need to install different perquisites. Utilize npm and pip for these.
Install the latest npm packages and use the requirements file to install all python modules via pip.
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npm
npm install npm@latest -g
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pip
pip install -r requirements.txt
Clone the repo
git clone https://github.com/Reaganak40/gerontechnology.git
Use this space to show useful examples of how a project can be used. Additional screenshots, code examples and demos work well in this space. You may also link to more resources.
For more examples, please refer to the Documentation
- Date-Wrangling
- Research Query
- EMMA Dashboard
See the open issues for a full list of proposed features (and known issues).
Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.
If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature
) - Commit your Changes (
git commit -m 'Add some AmazingFeature'
) - Push to the Branch (
git push origin feature/AmazingFeature
) - Open a Pull Request
Distributed under the Apache-2.0 license. See LICENSE.txt
for more information.
Reagan Kelley - [email protected]