A Web-based Platform to Share Harmonized Results from COVID-19 Clinical Studies

Area of Science:

• Biomedical Informatics
• Computational Biology
• Epidemiology

Background:

• The COVID-19 pandemic generated a vast number of publications, necessitating standardized data management.
• Existing efforts to standardize and share COVID-19 research data have been insufficient.
• Integrating diverse trial outcomes and omics data is crucial for advancing COVID-19 research.

Purpose of the Study:

• To introduce the ReMeDy platform, an intelligent informatics solution for harmonizing COVID-19 research data.
• To facilitate the integration of diverse COVID-19 trial outcomes and omics data.
• To establish a standardized approach for storing and sharing COVID-19 research findings.

Main Methods:

• The ReMeDy platform was developed to integrate disparate COVID-19 research data.
• A validation set of 48 COVID-19 observational retrospective studies was utilized.
• The platform's efficiency in organizing diverse data elements was assessed.

Main Results:

• The ReMeDy platform demonstrated robustness in organizing diverse data elements from COVID-19 studies.
• The informatics solution successfully integrated trial outcomes and omics data.
• The platform proved capable of handling the complexity of COVID-19 research data.

Conclusions:

• The ReMeDy platform offers a viable solution for standardizing and integrating COVID-19 research data.
• The platform's ability to organize diverse data validates its utility for future research.
• Future work will focus on expanding the ReMeDy database to include all published COVID-19 studies.