OpenAIRE Legal Policy Webinar aimed at PhD students/ researchers
“OpenAIRE is happy to announce two public webinars in our Legal Policy Webinar series: one on Wednesday April 29th, and the other on Monday May 4th, at 2 PM CEST. How do you deal with sensitive personal data in biomedical research? What are potential privacy issues when using personal data for your research? What do you need to know about the GDPR and the new PSI directive?
In these webinars, our experts Prodromos Tsiavos (Senior Legal Advisor – ARC/ Head of Digital and Innovation – Onassis Group), Thomas Margoni (CREATE Glasgow) and Jacques Flores Dourojeanni (Research Data Management Consultant Utrecht University Library) will provide a legal perspective on research data management – both theoretical and practical. Given the current health crisis, the practical examples will focus on biomedical sciences and medical data – but the webinars will be relevant for researchers and research admin from all fields (including social sciences and humanities).
We invite researchers and research support staff to join these webinars. The webinar on April 29th will have a researcher-centered approach, while the webinar on May 4th will focus on research support and advice services. Of course , you are welcome to attend both webinars, but take into account that there might be some overlap.
Both webinars will allow for generous Q&A time, and you have the possibility to submit your questions at registration.
You will receive the webinar link upon registration and in the reminder email sent in the morning of the webinar.
29th April 2 PM CEST: Webinar aimed at PhD students/ researchers : recommendations for researchers on reusing data – legal aspects: what you need to know about GDPR (General Data Protection Regulation) and PSI (Public Sector Information) Directive – common misperceptions and troubleshooting – practical examples.
4th May 2 PM CEST: Webinar aimed at research support staff: what are relevant things to know when it comes to GDPR, new PSI directive and IPR – how to advise researchers – common misperceptions and troubleshooting – practical examples.”