Growing FAIR and tidy data

What we do

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.

A value-based and principle-driven initiative

In the Seedcase Project, we build software and community together. We’re dedicated to open science and open source, and we incorporate this in all aspects of our work. Our values and principles are described on our design website, and we write posts about our work and learnings on our community website.

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