Jakub JirkaEvery researcher knows that FAIR data — data that are Findable, Accessible, Interoperable, and Reusable — is the gold standard. But putting the FAIR principles into everyday practice often gets complicated.
Between managing Data Management Plans (DMPs), following institutional Research Data Management (RDM) policies, and keeping track of repositories and CRIS data (such as information about projects, grants, researchers, or publications), researchers can spend more time on forms than on discovery.
That’s why we built FAIR Wizard, a platform that makes FAIR simple, automatic, and genuinely useful.
FAIR Wizard is more than a DMP tool. It is a FAIR-by-design platform that connects directly with existing research systems like CRIS and integrates with trusted European services such as the European Open Science Cloud (EOSC).
As researchers fill in their DMPs, SMPs, or ethical reviews, FAIR Wizard provides real-time feedback. It shows instantly how “FAIR” their data are and offers concrete steps for improvement. No checklists or guesswork, just meaningful guidance that helps make research more open, transparent, and connected.
FAIR Wizard is not just about compliance. It also supports learning and reflection.
When a researcher indicates that there are no preexisting data to reuse, the platform suggests looking again. It explains best practices, offers short contextual tips, and links directly to relevant resources such as RDMkit and FAIRsharing.
Often this leads researchers to discover datasets that are relevant to their work. What started as “no data to reuse” becomes a chance to make science more efficient and collaborative.
FAIR Wizard helps individual researchers, but its real strength lies in scaling FAIR practices across an institution.
Each response in the system contributes to FAIRness metrics that track progress in real time. Researchers can see how their answers affect their project’s FAIR score, while institutions gain a dashboard that visualizes trends across departments and projects.
Administrators can identify where support is needed, monitor compliance with funder requirements such as Horizon Europe DMPs, and highlight improvements in research data management.
FAIR Wizard connects with the maDMP Evaluation Service, developed through the OSTrails project, to validate DMPs automatically. Researchers can check their plans and receive instant, actionable feedback on completeness, structure, and FAIR alignment.
This saves time, reduces administrative effort, and ensures every DMP meets the latest open science standards.
Adopting FAIR data management should not feel like extra work. It should feel like good science.
By embedding FAIR principles into everyday research workflows, from CRIS integrations to real-time metrics, FAIR Wizard helps researchers, librarians, and data stewards collaborate more effectively.
For institutions, it means moving from individual compliance to institutional excellence in data stewardship. FAIR Wizard helps you build a culture where FAIR is the default, not the exception.
