SciCat Metadata Widget 🔍✨

A Python-based widget for fetching, analyzing, and posting SciCat metadata. This tool is designed to streamline research workflows by enabling efficient data retrieval, manipulation, and submission directly from a user-friendly interface.

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Features ✨

• Fetch SciCat metadata for research and analysis.
• Perform data transformations and analysis on fetched metadata.
• Post updated or new metadata back to the SciCat system.
• Lightweight and easy-to-integrate widget for scientific workflows.

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Getting Started 🚀

Prerequisites 🛠️

• Python 3.8+
• Required Python libraries:
  • requests
  • pandas
  • ipywidgets

Install dependencies:
pip install requests pandas ipywidgets

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Installation

1. Clone the repository:
   git clone https://github.com/your-username/scicat-metadata-widget.git
   cd scicat-metadata-widget

2. Install the required dependencies:
   pip install -r requirements.txt

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Usage 🔧

Fetch Metadata

Run the script and specify the dataset ID or metadata filter:
python fetch_metadata.py --dataset-id DATASET_ID

Analyze Data

Use the included widget to perform transformations or visualize metadata.

Post Metadata

Submit updated or new metadata to SciCat:
python post_metadata.py --file updated_metadata.json

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File Structure 📂

• fetch_metadata.py: Script for retrieving SciCat metadata.
• post_metadata.py: Script for posting metadata to SciCat.
• widget/: Contains reusable widget components.
• README.md: Documentation for the repository.

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Contributing 🤝

1. Fork the repository.

2. Create a new branch:
   git checkout -b feature/your-feature

3. Commit your changes:
   git commit -m "Add your feature"

4. Push the branch:
   git push origin feature/your-feature

5. Open a pull request.

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License 📝

This project is licensed under the MIT License. See the LICENSE file for details.

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Simplify and enhance your SciCat metadata workflows! 🔍✨