FAIR environmental and health registry (FAIREHR)- supporting the science to policy interface and life science research, development and innovation

The central argument is that implementing FAIR principles for data management at the start of research planning will enhance data integration, support the use of advanced analytical tools like AI, and improve the translation of science to policy. The proposed registry would hold metadata on study design, data management plans, and audit trails. The paper outlines expected benefits for scientists, companies, publishers, and policymakers but notes that successful implementation requires community involvement, capacity building, and a sustainable funding model. As a methodological proposal, it does not report empirical data or clinical findings, and its primary implication is infrastructural, aiming to address challenges in data quality and integration for future big data strategies in environmental health.