The webinar will introduce the concept of anonymization of research data, including direct identifiers and quasi-identifiers using Amnesia, which is a flexible data anonymization tool that transforms sensitive data to datasets where formal privacy guarantees hold. Amnesia transforms original data to provide k-anonymity and km-anonymity. AGENDA Introduction to different anonymization techniques: k-anonymity and km-anonymity, Short demonstration of the tool. Recording also available - https://youtu.be/pgtLY1r9ee
The goal of this event was to show trainers the tools they need to teach the fundamentals of data an...
These days the digitization process is everywhere, spreading also across central governments and lo...
9th Conference on Metadata and Semantics Research (MTSR) -- SEP 09-11, 2015 -- Manchester, ENGLANDWO...
This webinar is devoted to the mathematical and theoretical underpinnings of guaranteed data anonymi...
Data curators should have a basic understanding of data anonymization so they can support safe shari...
The k-anonymity model has become a standard for anonymizing data. However, almost all applications o...
In order to support the increasing need to share electronic health data for research purposes, vario...
The presentation focuses on anonymisation guidance that FSD offers to its customers for both quantit...
Abstract — Classification is a fundamental problem in data analysis. Training a classifier requires ...
Advances in information technology, and its use in research, are increasing both the need for anonym...
The collection, publication, and mining of personal data have become key drivers of innovation and v...
The proliferation of information on the Internet and access to fast computers with large storage cap...
The topic of big data has attracted increasing interest in recent years. The emergence of big data l...
Background: Explicit patient consent requirements in privacy laws can have a negative impact on heal...
While rich medical, behavioral, and socio-demographic data are key to modern data-driven research, t...
The goal of this event was to show trainers the tools they need to teach the fundamentals of data an...
These days the digitization process is everywhere, spreading also across central governments and lo...
9th Conference on Metadata and Semantics Research (MTSR) -- SEP 09-11, 2015 -- Manchester, ENGLANDWO...
This webinar is devoted to the mathematical and theoretical underpinnings of guaranteed data anonymi...
Data curators should have a basic understanding of data anonymization so they can support safe shari...
The k-anonymity model has become a standard for anonymizing data. However, almost all applications o...
In order to support the increasing need to share electronic health data for research purposes, vario...
The presentation focuses on anonymisation guidance that FSD offers to its customers for both quantit...
Abstract — Classification is a fundamental problem in data analysis. Training a classifier requires ...
Advances in information technology, and its use in research, are increasing both the need for anonym...
The collection, publication, and mining of personal data have become key drivers of innovation and v...
The proliferation of information on the Internet and access to fast computers with large storage cap...
The topic of big data has attracted increasing interest in recent years. The emergence of big data l...
Background: Explicit patient consent requirements in privacy laws can have a negative impact on heal...
While rich medical, behavioral, and socio-demographic data are key to modern data-driven research, t...
The goal of this event was to show trainers the tools they need to teach the fundamentals of data an...
These days the digitization process is everywhere, spreading also across central governments and lo...
9th Conference on Metadata and Semantics Research (MTSR) -- SEP 09-11, 2015 -- Manchester, ENGLANDWO...