Test in Real Systems
We test ideas in working research infrastructure, beginning with RAMS, to understand how new capabilities fit into real project, visit, and station workflows.
Approach
FAIR Station uses a test, learn, shape, build, and iterate approach, with community input informing our work every step of the way. Our processes emphasize practical experimentation, open development, and solutions that can be sustained over time.
Learn From Data and Discovery
We use several methods to test assumptions and understand the broader field station and marine laboratory (FSML) ecosystem:
- exploratory data analysis
- discovery interviews
- analysis of station systems and workflows
- review of intake forms and research metadata
- engagement with existing community initiatives and prior work
Shape With the Community
We work with field station managers, researchers, partners, and community organizations to scope future work and decide what should be built and/or tested. What we learn helps us identify shared problems, understand where needs differ, and prioritize opportunities based on their potential value and impact.
Build and Iterate
We turn the strongest opportunities into working capabilities and practical experiments. Building allows us to test ideas in practice, measure how they perform, and learn what should be improved, expanded, or reconsidered.
Those findings feed into the next round of community input, testing, and development. Technical feasibility, maintainability, security, and long-term sustainability also help shape what moves forward.