roar022/datastorehouse

DataStoreHouse is an open-source project that aims to create a collaborative platform for gathering and sharing a wide variety of datasets. It provides a centralised repository where individuals and organisations can contribute, discover, and collaborate on diverse datasets for various domains.

DataStorehouse 🚀

DataStorehouse is an open-source project that aims to create a collaborative platform for gathering and sharing a wide variety of datasets. It provides a centralized repository where individuals and organizations can contribute, discover, and collaborate on diverse datasets for various domains. 📊📚

We are on Hacktoberfest 2023! 🎉

Features ✨

• Contributing: Easily contribute your own datasets to the DataStorehouse repository. ✅
• Discover: Explore a wide range of datasets across different domains. 🔍🌐
• Collaborate: Connect with other users and collaborate on dataset projects. 🤝💡
• Search: Quickly find datasets using the powerful search functionality. 🔎
• Tagging: Categorize and organize datasets using tags. 🏷️

Installation 🛠️

To get started with DataStorehouse, follow these steps:

1. Clone the repository: git clone https://github.com/neokd/DataStorehouse.git
2. Navigate to the project directory: cd DataStorehouse

Contributing 👥

Contributions are welcome! If you have a dataset that you would like to add to DataStorehouse, please follow these steps:

1. Fork the repository.
2. Create a new branch: git checkout -b add-dataset
3. Add your dataset to the appropriate domain directory.
4. Update the README.md file with the details of your dataset.
5. Commit your changes: git commit -m "Add dataset: <dataset title>"
6. Push the changes to your branch: git push origin add-dataset
7. Submit a pull request.

Please ensure that your dataset adheres to the guidelines and standards defined in the CONTRIBUTING.md file.

Project Contributors 🧑‍💻

License 📝

DataStorehouse is released under the MIT License. 📄

Feel free to contribute and make use of the DataStorehouse platform to collaborate and explore diverse datasets for your projects! 🌟