As a researcher, you may need to understand how FAIR your data currently is
to comply with institutional requirements or to identify areas for improvement.
Scenario Overview
You need to assess the current FAIRness level of your dataset to determine whether it meets your institutional requirements and identify specific areas where improvements can be made.
Complexity
Low
Key Experts
Data Steward
Outcome
FAIRness Assessment Report
Your Journey
Define FAIRification objectives
Define your goals for evaluating FAIRness.
Start by identifying your goal: assessing how FAIR your dataset currently is to determine whether it meets your institutional requirements. Understanding baseline FAIRness helps you prioritize improvements.
Examples
Researcher
My institute has set minimal FAIR requirements for data. I want to get an indication if I meet these requirements before submission.
PhD Candidate
I need to understand the current FAIRness of my research data to plan improvements before my defense.
Reach out to a FAIR data steward who brings expertise in FAIR principles and assessment tools. Having professional support ensures accurate evaluation and actionable recommendations.
Examples
Researcher
I contacted our department's data steward who helped me understand which FAIR assessment tool would be most appropriate for my situation.
Together with your data steward, conduct a pre-FAIR assessment using an appropriate tool (like ARDC FAIR self-assessment or FAIR-Checker) to evaluate how well your data meets FAIR principles and identify specific gaps.
Examples
Researcher
We're using the ARDC FAIR self-assessment tool, which provides both a FAIRness score and specific suggestions for improvement.
Data Manager
I'm running multiple datasets through automated FAIR assessment to get a baseline for our repository's overall FAIRness.
You understand your data's FAIRness and next steps.
Congratulations! You now have clear insights into how FAIR your data is and specific recommendations for improvement. You can use this knowledge to define new FAIRification objectives if needed or confirm compliance with institutional requirements.
Define FAIRification objectives
Have a FAIR data steward on board
Pre-FAIR assessment