Implementing GDPR-Compliant Solutions for Genomics Data Analysis on HPC Cloud Infrastructure

Abstract

The rapid advancement of genomics data analysis on High-Performance Computing (HPC) cloud infrastructures presents unique challenges in ensuring compliance with the General Data Protection Regulation (GDPR). This study examines GDPR-compliant solutions for large-scale genomics data analysis, focusing on the strategies employed by the CINECA supercomputing center. Key research questions explore data security, compliance measures, efficient data processing, integration of diverse diagnostic data, and scalability across institutions. A quantitative research approach is employed, analyzing relationships between data security measures and compliance rates. Findings indicate that dynamic GDPR-compliant protocols, advanced encryption, optimized data processing, standardized integration processes, and adaptable frameworks significantly enhance security, efficiency, and compliance. The study contributes to the field by bridging gaps in scalable and secure genomics data processing, offering insights into sustainable GDPR-compliant implementations.