Webinar: 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 the General 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.
Speakers: Sarah Peter and Adrian Thorogood (Luxembourg Centre for Systems Biomedicine, University of Luxembourg)
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