Items tagged with ANONYMIZATION

Bring your data and learn how to effectively anonymize them with Amnesia!

  • Wednesday, 30 June 2021

Athena’ Research Center, as part of the activities of the OpenAIRE NOAD in Greece, launches yet another round of informative and educational online seminars, in support of research activities relevant to the coronavirus disease. The seminars will inform about new developments, promote know-how and familiarize the scientific community with the use of certain services. This seminar will run in collaboration with the OpenAIRE NOAD in Cyprus.


“Amnesia: anonymization of data with guarantees”


Date: Wednesday 30 June 2021


Time: 11.00 a.m - 12.30 p.m (EEST)


Language: Greek

Public: Researchers, Academic Staff, Research Infrastructures and Research Services, Librarians

The seminar concentrates on the processing of sensitive and personal data to show anonymization techniques and guarantees that are offered via the Amnesia tool.  Amnesia is an open source software that applies k- and km- anonymity techniques in order to achieve guaranteed irreversible anonymization of personal data. The techniques of anonymization that it offers convert the personal data into statistics with the least possible loss of information, allowing their processing without the restrictions of the General Regulation on Personal Data Protection.

During the seminar, participants will learn about the legal framework governing sensitive and personal data, as well as about alternatives that they can follow to achieve maximum compliance with Open Science conditions. There will be a presentation of the tool and then participants will have the opportunity to practice using Amnesia with their own data! 


For any questions you may have, please don’t hesitate to contact us!

  • Greece
  • Cyprus
 
 

Amnesia

the OpenAIRE data anonymization tool

  • Wednesday, 10 June 2020

amnesia webinar 512

Speaker: Manolis Terrovitis (Athena Research Centre)
Date: June 10th 2020
Time: 2 PM CEST


Amnesia is a flexible data anonymization tool that transforms relational and transactional databases to dataset where formal privacy guaranties hold. Amnesia transforms original data to provide k-anonymity and km-anonymity: the original data are transformed by generalizing (i.e., replacing one value with a more abstract one) or suppressing values to achieve the statistical properties required by the anonymization guaranties. Amnesia employs visualization tools and supportive mechanisms to allow non expert users to anonymize relational and object-relational data. 

Amnesia is implemented in java and javascript and it can be used as a standalone application or as a service. Moreover, it provides a ReST service API to allow the incorporation of its anonymization engine to other information systems. The tool is available through OpenAIRE and it has been used in several research projects including MEDA and MyHealthMyData.

 

Dr. Manolis Terrovitis  is a Researcher at the Information Management Systems Institute (IMSI) of Research Center Athena. His research work includes big data analytics, data privacy and anonymization methods. He received his PhD from the National Technical University of Athens (2007) and has been with the Department of Computer Science of The University of Hong Kong as a post-doctoral researcher (2007-2008). In 2009 he joined IMSI, first as a post-doctoral researcher and then as a Researcher. Google Scholar reports over 1900 citations to his work, which includes publications to some of the most prestigious venues in data management (VLDB, VLDBJ, TKDE etc). He has served as president of the Hellenic Accreditation System and a member of the Board of Directors of Information Society S.A. He head of Amnesia development in Athena RC and he has been involved in several national and EU funded R&D projects.  He has worked as a consultant at the private and public sector on the design and performance optimization of information systems and he is working as a Data Protection Officer in the National Network for Precision Medicine in Cardiology and in Oncology. Moreover, he has extensive experience on the application of privacy-by-design principles in the information ecosystems.




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OpenAIRE has received funding from the European Union's Horizon 2020 Research and Innovation programme under Grant Agreements No. 777541 and 101017452 (see all).

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