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On the Design of a FAIR Data Maturity Model for OneAquaHealth
Adriano Tramontano1, Arriel Benis2, Catherine Chronaki3
1National Research Council of Italy, Naples, Italy.
This study details a custom FAIR Data Maturity Model to assess digital object compliance with FAIR principles (Findability, Accessibility, Interoperability, Reusability) within the OneAquaHealth project, aiding future FAIRification efforts.
Area of Science:
- Digital Health
- Data Science
- Information Science
Background:
- The OneAquaHealth project generates significant Digital Objects requiring robust data management.
- Ensuring these objects adhere to FAIR principles is crucial for scientific advancement and collaboration.
Purpose of the Study:
- To outline the process of assessing Digital Object compliance with FAIR principles.
- To introduce a custom FAIR Data Maturity Model tailored for the OneAquaHealth project.
- To establish a foundation for effective FAIRification in subsequent project phases.
Main Methods:
- Development of a custom FAIR Data Maturity Model.
- Alignment of the model with project-specific features and the One Digital Health Framework.
- Application of the model to assess the compliance of main Digital Objects.
Main Results:
- A comprehensive process for evaluating Digital Object compliance with FAIR principles has been described.
- A tailored FAIR Data Maturity Model has been designed and developed.
- The model serves as an educational tool to guide FAIRification.
Conclusions:
- The custom FAIR Data Maturity Model provides a structured approach to assess and improve data FAIRness.
- This model supports the OneAquaHealth project's objective of producing FAIR Digital Objects.
- The educational aspect of the model facilitates ongoing FAIRification and data management best practices.
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