Dataset Management Service (DMS) is an open-source web application designed to simplify the configuration and archiving of datasets. DMS allows users to define and manage any type of dataset, with the system automatically generating archives based on the configured data. It's an ideal solution for organizations and individuals looking to create a well-organized and accessible data repository.
- Customizable Dataset Configuration:
- Easily define and manage datasets through an intuitive interface.
- Automated Archiving:
- Automatically create archives based on the configured datasets, ensuring systematic and efficient data storage.
- Open-Source Flexibility:
- As an open-source project, DMS allows for community contributions and customization to fit specific needs.
- Modern Frontend:
- Built with Angular, the application offers a sleek, user-friendly interface that ensures a seamless user experience.
- Robust Backend with Node.js and Express:
- The backend is powered by Node.js and Express, providing a scalable, high-performance environment that integrates seamlessly with various databases and supports rapid development.
To run DMS locally, you will need:
- Node.js (v14 or higher)
- npm (v6 or higher)
- Angular CLI (v12 or higher)
- MongoDB (or another compatible database)
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Clone the repository:
git clone https://github.com/RikoxCode/DMS.git cd DMS -
Install backend dependencies:
./install-dependencies-script.sh
Contributions are welcome! If you'd like to contribute, please fork the repository and use a feature branch. Pull requests are warmly welcome.
Fork the repository
Create a feature branch
Commit your changes
Push to your fork
Submit a pull request
This project is licensed under the MIT License. See the LICENSE file for more details. Contact
For any inquiries or issues, please open an issue on GitHub or contact me.
This README.md includes an introduction to the DMS project, installation and running instructio