Our vision is to make it as easy as possible to create, build, and use FAIR (Findable, Accessible, Interoperable, and Reusable), tidy, and high-quality data, ultimately reducing the time from data generation to scientific dissemination.
Our strategy to work towards this vision is to:
- Collaborate with research groups to engineer and build FAIR and tidy data packages
- Develop open-source tools that automate and streamline building these data packages.
- Upskill and empower researchers and data owners through mentoring, training, guides, and tutorials.
Check our website for more details, such as our roadmap, products, team, links to our other websites, and our collaborators.
This project is funded by a grant from the Novo Nordisk Foundation. See
our grant proposal here: .
We are employed at Aarhus University and at the Steno Diabetes Center Aarhus in the Central Denmark Region.
Looking to contribute? Check out our contributing guidelines.
Please note that the Seedcase Project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.
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The following people have contributed to this project by submitting pull requests 🎉
@K-Beicher, @lwjohnst86, @martonvago, @namannimmo10, @rqding, @signekb
This project is licensed under the CC-BY-4.0 License.