When writing software to process health, genetic or other sensitive data in High Performance Computing (HPC) clusters, software developers and researchers must consider the requirements of the General Data Protection Regulation, including the principle of privacy by design and the duties of data protection.
In this webinar we will highlight the risks of working with sensitive data on an HPC cluster and what are common software vulnerabilities. We will discuss general best practices in software development and provide guidelines on how to handle data in applications. We will also raise awareness of outside factors that affect data security and briefly mention important generic organisational measures that should be in place.

About the speaker

Sarah Peter studied Bioinformatics and worked for a few years as a researcher and data manager at the Max Planck Institute. Now she works at the Luxembourg Centre for Systems Biomedicine, UNILU, as an Infrastructure Engineer in the R3 and IT Infrastructure team. She is also the liaison for the HPC team. Since GDPR has come into effect, she spends some of her time doing risk analysis for the institute’s IT infrastructure and the HPC cluster.