Poster Number
26
Poster Title
SPE4HD: Secure Processing Environment for Health Data
Authors
Kraatz, L., Schneider-Lunitz V., Twardziok, S. (Berlin Institute of Health at Charité)
Abstract
Secure processing environments (SPEs) are essential for handling sensitive biomedical data, ensuring research continuity even during crises such as the COVID-19 pandemic. Given the increasing availability of clinical data for translational research within frameworks like the European Health Data Space (EHDS), secure and compliant data handling platforms are crucial.
We introduce SPE4HD (Secure Processing Environment for Health Data), a robust demonstration platform developed during the 3rd BioHackathon Germany 2024, offering reusable Secure Processing Environments for the German de.NBI cloud and other research cloud infrastructures. This platform integrates established GA4GH standards, notably Workflow Execution Service (WES) and Task Execution Service (TES). Utilizing the open-source systems WESkit and TES-K, our platform allows researchers to securely execute validated Snakemake and Nextflow workflows on sensitive data. MinIO, an open-source storage system, paired with Life Science Login (LS Login), ensures authenticated and authorized access to sensitive datasets.
Comprehensive documentation and reproduction instructions are openly accessible, promoting widespread adoption and customization within the GA4GH community. Our innovative integration of secure data storage, federated execution services, and GA4GH-compliant workflow management tools, demonstrated through platforms such as SPE4HD, represents a significant advancement toward universally accessible, secure, and efficient biomedical research platforms.
We introduce SPE4HD (Secure Processing Environment for Health Data), a robust demonstration platform developed during the 3rd BioHackathon Germany 2024, offering reusable Secure Processing Environments for the German de.NBI cloud and other research cloud infrastructures. This platform integrates established GA4GH standards, notably Workflow Execution Service (WES) and Task Execution Service (TES). Utilizing the open-source systems WESkit and TES-K, our platform allows researchers to securely execute validated Snakemake and Nextflow workflows on sensitive data. MinIO, an open-source storage system, paired with Life Science Login (LS Login), ensures authenticated and authorized access to sensitive datasets.
Comprehensive documentation and reproduction instructions are openly accessible, promoting widespread adoption and customization within the GA4GH community. Our innovative integration of secure data storage, federated execution services, and GA4GH-compliant workflow management tools, demonstrated through platforms such as SPE4HD, represents a significant advancement toward universally accessible, secure, and efficient biomedical research platforms.
Digital Poster