FAIR-SMART expands access to supplementary materials for research transparency

Area of Science:

• Biomedical Research
• Data Science
• Scientific Publishing

Background:

• Supplementary materials are crucial for research transparency and reproducibility.
• Inconsistent formats currently limit access and usability of supplementary data.
• Standardized access is needed to fully leverage these critical research components.

Purpose of the Study:

• To introduce FAIR-SMART, a novel system for enhancing FAIR (Findable, Accessible, Interoperable, Reusable) access to supplementary materials.
• To address the limitations posed by diverse and unstructured supplementary file formats.
• To improve data retrieval and promote scientific reproducibility.

Main Methods:

• Aggregating supplementary files into a centralized repository.
• Standardizing files into structured, machine-readable formats.
• Utilizing large language models for automated categorization of tabular data.
• Providing access via web APIs for efficient data retrieval.

Main Results:

• Development of the FAIR-SMART system for enhanced supplementary material access.
• Successful standardization and machine-readable formatting of diverse supplementary files.
• Automated categorization of tabular data, improving data retrieval efficiency.
• Establishment of web APIs for seamless data access.

Conclusions:

• FAIR-SMART significantly advances biomedical research by improving access to supplementary materials.
• The system enhances transparency, reproducibility, and scientific impact.
• Accessible supplementary data has transformative potential for scientific decision-making and community behavior.