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Manager for the quality assessment of large neuroimaging studies

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Introduction

Qkay is a Docker containerized web application developed using Flask, which serves as a manager for the quality assessment of large neuroimaging studies.

Prerequisites

To run the Qkay package using Docker Compose, you'll need to have Docker and Docker Compose installed on your machine. You can download and install them from the following links: Docker Docker-compose

Usage

Before using qkay, you will need to set up the necessary environment variables by completing the .env file. In this file, you should provide the path to the database and the path to all datasets that you want to use. If there is more than one dataset, the path should be the parent folder.

Run the containers with Docker Compose:

$ docker-compose up

The application will be reachable on http://localhost. Here are the steps you need to follow to set up the environment variables:

1. Open the .env file in a text editor.
2. Set the DATABASE_PATH variable to the path of the database file you want to use.
3. Set the DATASETS_PATH variable to the path of the folder containing all the datasets you want to use. If you have more than one dataset, provide the path to the parent folder.
4. Save the .env file.

To run qkay using Docker Compose, follow these steps:

1. Clone the qkay repository from GitHub: git clone https://github.com/nipreps/qkay.git
2. Navigate to the qkay directory: cd qkay
3. Run "docker-compose up" to start the app and the database.
4. Open a web browser and navigate to https://localhost.
5. Log in to the app using the following credentials:
    Username: Admin
    Password: abcd
6. Once you have logged in, go to the Admin panel and change your password to something more secure.
7. Once you have logged in, go to the Admin panel and add a dataset by clicking on the "Add Dataset" button. You will need to provide the following information:
Dataset Name: The name of the dataset you want to add.
Dataset Path: The path to the dataset on your computer relative to the /datasets/ folder mounted in the Docker image. For example, if the dataset is located at /data/ds1 on your computer and your .env file contains the variable DATASETS_PATH=/data/, you should enter /datasets/ds1/ as the dataset path. Note that the DATASETS_PATH variable in the .env file specifies the parent folder that contains all datasets, and the dataset path you enter in the Admin panel should be a subfolder of this parent folder, mounted as /datasets/ in the Docker image.

Contributing

We welcome contributions to Qkay. Please read the contributing guide to get started.

License

Qkay is released under the Apache 2.0 License.

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