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Data Conversations: Anonymising Research Data Online
It has become a "best practice" (and in some cases: a requirement) to publish your research data online after the research has finished. At the same time, we, the research community, are bound by privacy legislation - the GDPR - to protect the privacy of our data subjects and we are told only to publish data online after they have been anonymised. But anonymisation is difficult to achieve and it can be a lot of work. Fortunately, standards, guidelines and tools have been, or are being developed, to make anonymisation easier. During this session of the Data Conversations, dr. Manolis Terrovitis (Research Center Athena) will present his anonymisation tool, Amnesia, and demonstrate it for us.
The session is introduced by Elisa Rodenburg, who will give us a short overview of data anonymisation facilities currently being developed at the VU.
This session of the Data Conversations is a collaboration between VU Data Conversations and the ReproducibiliTea Journal Club.
Come and share your research data stories and hear others. Find the registration button at the bottom of this page. There will be an opportunity for Q&A after the talks. At the moment, Data Conversations take place online. You will receive an email with a Zoom link after your registration.
About the speakers
Elisa Rodenburg is the interim RDM Community Manager at the VU. In this role, she fosters a culture of collaboration, innovation and knowledge sharing about Research Data Management for researchers and support staff. In her usual role as RDM Support Desk officer, she assists researchers with their questions about RDM and is responsible for providing and maintaining clear information about RDM.
Dr. Manolis Terrovitis (m) is a Senior Researcher at the Information Systems Management Institute of Research Center Athena (Greece). His research interests include big data analytics, data privacy and anonymization methods. Manolis has served as President of the Hellenic Accreditation System (www.esyd.gr), and on the board of directors of Information Society S.A., a public Greek company responsible for the procurement of ICT solutions for the Greek State. Manolis is employed as DPO in two health consortiums for precision medicine and he is the creator of the data anonymization tool Amnesia (https://amnesia.openaire.eu). Google Scholar reports 2100 citations to his work, which includes publications to some of the most prestigious venues in data management (VLDB, VLDBJ, TKDE etc.).
Agenda
12:50 - 13:00 Sign in; check your microphone
13:00 Data Conversations begin
13:05 - 13:10 Elisa Rodenburg, "Data anonymisation at the VU"
13:10 - 13:45 Manolis Terrovitis, "Amnesia - Data Anonymisation Made Easy"
13:45 - 14:00 Q&A and discussion
After the session: optional virtual drinks - if you are ready to hang out with us a bit longer :-)
What to expect?
Data Conversations is a series of short talks from researchers or colleagues who support research. Today's session will feature a fifteen-minute presentation about Amnesia and a fifteen-minute demo of Amnesia, both by dr. Terrovitis. There will be time to ask questions after the demo.
Who should attend?
Data Conversations brings together researchers, research support staff, and data management, and data science experts from all subject areas. Early career researchers as well as experienced academics are welcome to attend.
About Data Conversations
Data Conversations started at the University of Lancaster in the UK. The Lancaster Data Conversations aim to bring data practitioners together to talk about how researchers create, collect, use and share data. The Data Conversations at the VU Amsterdam share the same aim and are intended to provide a forum for researchers from different subjects and disciplines to exchange practices and ideas around open data, FAIR data, research data management and related open science topics.
- Date:
- Wednesday, May 12, 2021
- Time:
- 13:00 - 14:00
- Time Zone:
- Central European Time (change)
- Online:
- This is an online event. Event URL will be sent via registration email.
- Audience:
- Library Staff Master PhD Researchers
- Categories:
- Research Support > Data Management
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