Rapid Deployment of a Pseudonymization Service in a Distributed Research Data Infrastructure - Lessons Learned

Area of Science:

• Biomedical research
• Infectious disease epidemiology
• Data management

Background:

• The SARS-CoV-2 pandemic necessitated rapid, collaborative biomedical research efforts.
• Complex, multi-site studies require robust data management and participant registration systems.
• Efficient pseudonymization is crucial for protecting participant privacy in large-scale research.

Purpose of the Study:

• To describe the rapid deployment and implementation of a pseudonymization service within the ORCHESTRA consortium.
• To share lessons learned from managing a time-critical, multi-site research data service.
• To highlight strategies for overcoming challenges in international research collaborations.

Main Methods:

• A pseudonymization service was developed and deployed across 13 international sites.
• Minimal training and maintenance were prioritized for rapid rollout.
• Widely available tools were creatively utilized to meet project demands.
• A dedicated partner managed software deployment and site-specific pre-configuration.

Main Results:

• The service was successfully implemented in 13 sites across 11 countries.
• Over 10,000 study participants and 15,000 biosamples were registered.
• The deployment was achieved with minimal training and maintenance overhead.
• Common implementation challenges were overcome through adaptable strategies.

Conclusions:

• Rapid deployment of essential research services is feasible even under time-critical pandemic conditions.
• Creative utilization of common tools and dedicated support are key to successful international research infrastructure implementation.
• Effective pseudonymization services are vital for enabling large-scale, collaborative biomedical research.