# doi2dataset

**doi2dataset** is a Python tool designed to process DOIs and generate metadata for Dataverse datasets. It retrieves metadata from external APIs (such as OpenAlex and CrossRef), maps metadata fields, and can optionally upload the generated metadata to a Dataverse instance.

## Features

- **DOI Validation and Normalization:** Validates DOIs and converts them into a standardized format.
- **Metadata Retrieval:** Fetches metadata such as title, abstract, license, and author information from external sources.
- **Metadata Mapping:** Automatically maps and generates metadata fields (e.g., title, description, keywords) including support for controlled vocabularies and compound fields.
- **Optional Upload:** Allows uploading of metadata directly to a Dataverse server.
- **Progress Tracking:** Uses the Rich library for user-friendly progress tracking and error handling.

## Installation

Clone the repository from GitHub:

```bash
git clone https://git.athemis.de/Athemis/doi2dataset
cd doi2dataset
```

## Configuration

Configuration

Before running the tool, configure the necessary settings in the `config.yaml` file located in the project root. This file contains configuration details such as:

- Dataverse connection details (URL, API token, authentication credentials)
- Mapping of project phases
- Principal Investigator (PI) information
- Default grant configurations

## Usage

Run doi2dataset from the command line by providing one or more DOIs:

```bash
python doi2dataset.py [options] DOI1 DOI2 ...
```

### Command Line Options

- `-f, --file`
  Specify a file containing DOIs (one per line).

- `-o, --output-dir`
  Directory where metadata files will be saved.

- `-d, --depositor`
  Name of the depositor.

- `-s, --subject`
  Default subject for the metadata.

- `-m, --contact-mail`
  Contact email address.

- `-u, --upload`
  Upload metadata to a Dataverse server.

## Documentation

Documentation is generated using Sphinx. See the `docs/` directory for detailed API references and usage examples.

## Testing

Tests are implemented with pytest. To run the tests, execute:

```bash
pytest
```

## Contributing

Contributions are welcome! Please fork the repository and submit a pull request with your improvements.

## License

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