ARDaC Common Data Model Facilitates Data Dissemination and Enables Data Commons for Modern Clinical Studies.

Area of Science:

• Biomedical Informatics
• Clinical Data Management
• Translational Research

Background:

• Modern clinical studies generate complex, multimodal data, including participant information, treatments, biospecimens, and multiomics data.
• Existing data models often struggle to support the dissemination and collaborative research needs for such rich datasets.
• The Alcoholic Hepatitis Network (AlcHepNet) requires a robust system for managing and sharing its extensive research data.

Purpose of the Study:

• To develop a Common Data Model (CDM) for the Alcoholic Hepatitis Network (AlcHepNet) Research Data Commons (ARDaC).
• To bridge the data integration gap between the REDCap electronic data capture platform and the Genomic Data Commons (GDC) data model.
• To create a general, extensible CDM supporting modern clinical studies and translational research.

Main Methods:

• Developed the ARDaC Common Data Model (CDM).
• Extended the Genomic Data Commons (GDC) data model to accommodate clinical study data.
• Ensured compatibility between the AlcHepNet REDCap platform and the GDC data model within the Gen3 framework.

Main Results:

• The ARDaC CDM successfully bridges data models from REDCap and GDC.
• The CDM facilitates harmonization of research data across different consortia and programs.
• The developed CDM supports the ongoing development and functionality of the ARDaC.

Conclusions:

• The ARDaC CDM is a general and extensible solution for managing complex clinical study data.
• This data model enhances data dissemination and research collaboration within the AlcHepNet consortium.
• The ARDaC CDM supports translational research by standardizing diverse data types.