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.
