Welcome! This repository contains a DataLad extension that enables DataLad to work with the Open Science Framework (OSF). Use it to publish your data to an OSF project, using the OSF for dataset storage and sharing. This is established by transforming storage on the Open Science Framework (OSF) into a git-annex repository.

The development of this tool started at OHBM Brainhack 2020 in June 2020, coordinated in this repository. See our documentation for more extensive information.

• Datalad: relies on git-annex, Git and Python. If you don’t have DataLad installed yet, please follow the instructions here.
• Account on the Open Science Framework (OSF)

# once packed up for Pypi:
pip install datalad-osf
# in the meantime:
pip install -e [--user] git+https://github.com/datalad/datalad-osf#egg=datalad-osf

See our documentation for some use cases on how to use this tool: http://docs.datalad.org/projects/osf/en/latest/

You are very welcome to help out developing this tool further. You can contribute by:

• Creating an issue for bugs or tips for further development
• Making a pull request for any changes suggested by yourself
• Testing out the software and communicating your feedback to us

See our contributing guidelines for more information.

Thanks goes to these wonderful people (emoji key):

Michael Hanke 🚧 💻 🐛 🤔	Dorien Huijser 📖 📆 🤔 📓	Ashish Sahoo 📖 🚧	Simon Steinkamp ⚠️ 📖 📆 🤔 📓 🚧	Benjamin Poldrack 📆 🤔 💻 🚧	Nick 📆 🤔 💻 🚧	Nikita Beliy 🤔 📓
Moritz J. Boos 💻 📓 🤔 🚧	Adina Wagner 📆 🤔 💻 📖 🚧

This project follows the all-contributors specification. Contributions of any kind welcome!