Techniques for Data Linkage and Anonymisation
Date:
23/10/2014
Organised by:
Turing Gateway to Mathematics/ Isaac Newton Institute for Mathematical Sciences
Presenter:
Chris Skinner & David Hand
Level:
Intermediate (some prior knowledge)
Contact:
Jane Leeks, 01223 765733, info@turing-gateway.cam.ac.uk
Map:
View in Google Maps (CB3 0EH)
Venue:
Isaac Newton Institute for Mathematical Sciences, 20 Clarkson Road, Cambridge
Description:
Increasing numbers of large databases describing people, their characteristics, and their behaviour are being looked to for analysis by both Government and commercial organisations. Much can be gained from combining or linking data from different datasets leading, for example, to better understanding of the needs of the public and to better public policy decisions. However, a balance needs to be struck between the need to access data and the need to preserve the privacy and confidentiality of personal information.
The two areas - data linkage and anonymisation - are fundamentally interdisciplinary. With this in mind, this one day workshop aims to bring together leading experts from a variety of relevant disciplines, including mathematics, computer science and statistics, as well as those from other related disciplines. Likewise, a key objective will be to gain input from key stakeholders, with expertise in specific application domains, such as educationalists, official statisticians, medical researchers, commercial organisations, epidemiologists and others.
Cost:
None
Website and registration:
http://www.turing-gateway.cam.ac.uk/tdla_oct2014.shtml
Region:
East of England
Keywords:
Data Quality and Data Management (other), Confidentiality and Anonymity, Data Linkage and Anonymisation
Related publications and presentations:
Data Quality and Data Management (other)
Confidentiality and Anonymity