Advances, challenges, and future directions in trauma-related Findable, Accessible, Interoperable, Reusable (FAIR)...

Area of Science:

• Trauma and Stressor-Related Disorders Research
• Data Science in Healthcare
• Research Methodology

Background:

• Increasing volume of research data necessitates advanced synthesis and application methods.
• Findable, Accessible, Interoperable, and Reusable (FAIR) data principles are gaining traction across scientific fields.
• Novel data reuse and synthesis methods are relatively new to traumatic stress research.

Purpose of the Study:

• To overview relevant FAIR data initiatives in other fields and within trauma research.
• To showcase advances and challenges in trauma-related FAIR data efforts through examples.
• To propose actionable next steps for enhancing FAIR data practices in traumatic stress research.

Main Methods:

• Literature review of FAIR data efforts in various research domains.
• Analysis of existing trauma-specific FAIR data projects and their outcomes.
• Synthesis of findings to inform future directions in trauma data science.

Main Results:

• Identified successful FAIR data implementations in other scientific areas.
• Highlighted current advancements and persistent challenges in applying FAIR principles to trauma data.
• Outlined potential strategies for improving data findability, accessibility, interoperability, and reusability in traumatic stress research.

Conclusions:

• Advancing FAIR data methods is essential for improving the efficiency and accuracy of traumatic stress research.
• Enhanced data sharing and reuse can accelerate the development of evidence-based interventions.
• Implementing FAIR data principles supports precision medicine and learning health systems in trauma care.