Pull data from DaRUS, the Data Repository of the University of Stuttgart, to a local folder (./data) with Python3.

Use it to organize the data of multiple datasets locally on your computer and to integrate your open data in git repositories.

• DaRUS data retreiver
  • How to get it running
    • Where does get_data.py look for darus_config.json and .darus_apikey files?
  • Example darus_config.json
    • A quick note about versions:
  • Direction/Future plans
  • Contribute

1. Install Python3 + pip (Python package manager)

2. Clone this repository to the place you need it. If it is a git repository add it as submodule via

   git submodule add https://github.com/iswunistuttgart/darus_data_download.git

3. Install required package requests (to make HTTP requests to the REST API):

   # cd to directory of this repository, then:
   pip install --user -r requirements.txt

4. Create the configuration file (scripts/darus_config.json) template by running

    python scripts/get_data.py

5. If the dataset(s) you want to use are not (yet) public, then get your API Token on https://darus.uni-stuttgart.de/dataverseuser.xhtml?selectTab=apiTokenTab and fill it in a file named.darus_apikey. Warning: never check in your api_key via git! Within this repository it is added to .gitignore

6. Configure the data to download in scripts/darus_config.json. The doi of each dataset is in the format doi:10.18419/darus-???? (find your own data on https://darus.uni-stuttgart.de/dataverseuser.xhtml?selectTab=dataRelatedToMe)

7. If you are using this module as submodule: move the darus_config.json file to the directory above this repository and check it in with your parent git project to keep data configuration reproducible

8. Download/update all data by running

   python scripts/get_data.py

   The metadata is also downloaded as as info.json in each folder

1. in ./scripts/ (directory of get_data.py)
2. in ./ (the parent directory, where Readme.md is located)
3. in ../ (one directory above this project)

For downloading two datasets

{
    "dataverse_url": "https://darus.uni-stuttgart.de/",
    "datasets": [
        {"id": "doi:10.18419/darus-1234", "version": "latest"},
        {"id": "doi:10.18419/darus-1235", "version": "2.0"}
    ]
}

To have reproducible results you should refer to a fixed version after the repository was published. Otherwise the data may change on repository updates.

Latest ("version": "latest") is the default setting, will also use unpublished versions. You can also use a version number or any string of the version descriptions given here

• Handle ENV variables(especially for API key) to use it in Docker, etc.
• Make it more robust against failure/misconfiguration
• Allow upload of files (maybe use pyDaRUS)
• Allow specifying version

• You are welcome to contribute bugfixes directly as pull requests
• For new features or changed functionality please open an issue first, or feel free to discuss it directly.