Data protection and security aspects of running simulations on personal data with HPC

When processing health and genetic data in High Performance Computing (HPC) clusters, researchers must consider the application of research ethics principles as well as theGeneral Data Protection Regulation, including issues of identifiability, duties of confidentiality and security, and accountability. A Data Protection Impact Assessment can be a useful tool to identify and mitigate any risks to the rights and freedoms of data subjects (patients and research participants).

In this webinar we will also highlight the risks of working with sensitive data on an HPC cluster and we will provide you guidelines and measures that can help you secure your data and its processing. Additionally, we will give a short overview of what you should look out for when selecting or developing software to work on this data

Who is this course for?

This webinar is part ofPerMedCoEwebinar series and is open for anyone interested in runningin silicosimulations of biological systems and the data protection aspects to be considered.

The goal of PerMedCoE is to provide an efficient and sustainable entry point to the HPC/Exascale-upgraded methodology to translate omics analyses into actionable models of cellular functions of medical relevance.

Outcomes

By the end of this webinar, you will be able to:

• Outline the ethics principles to be considered when working with sensitive research data on an HPC environment
• Identifying the risks of working in shared environments and which measures you can take to secure sensitive data