A Versatile, Secure, and Sustainable All-in-One Biobank-Registry Data Solution: The A3BC REDCap Model

Area of Science:

• Biobanking and Bioinformatics
• Data Management Systems
• Chronic Disease Research

Background:

• Large-scale biobanking is crucial for big data research, necessitating efficient data management.
• Establishing the Australian Arthritis and Autoimmune Biobank Collaborative (A3BC) required a low-cost, scalable system for multisite, longitudinal data.
• Existing software platforms were evaluated against stringent criteria for biobank data management.

Purpose of the Study:

• To develop a cost-effective, nation-scale data management system for a multisite biobank.
• To select and customize a software solution meeting complex longitudinal sample and data requirements.
• To ensure a secure, user-friendly, and sustainable informatics model for biobanking.

Main Methods:

• International software platforms were assessed using standardized criteria and interviews.
• Vendor compliance scoring prioritized project-critical requirements.
• Consumer co-design refined requirements; selected software (REDCap) was customized for auto-population and data security.

Main Results:

• Research Electronic Data Capture (REDCap) was selected as a free, configurable, and customizable platform.
• A secure, participant-centric biobank registry was developed with features like electronic consent and chain of custody.
• The system includes data security, longitudinal surveys, data integration, auto-population, and operational dashboards.

Conclusions:

• REDCap provides a versatile, reusable, and sustainable informatics model for chronic disease biobanks.
• This model supports holistic research in disease prediction, precision medicine, and prevention.
• The developed system is recommended for biobanks of varying complexity, from local to national scales.