Record Linkage - Introduction, Recent Advances and Privacy Issues

Description:

This workshop will consist of four tutorials, each around 45 minutes long to allow for questions.

Assumed knowledge:
The aim is to make this workshop as accessible as possible to a wide ranging audience from various backgrounds. The content will focus on concepts and techniques rather than details of algorithms. Basic understanding in databases, algorithms, and probabilities will be beneficial but not required.

The tutorial will be based on the book “Data Matching – Concepts and techniques for Record Linkage, Entity Resolution and Duplicate Detection” (Springer, 2012) written by the presenter.

Tutorial outline:
Part 1: Record linkage introduction, short history of record linkage, applications, and the record linkage process (overview of the main steps)

Part 2: Detailed discussion of all steps of the record linkage process (data cleaning and standardisation, indexing/blocking, field and record comparisons, classification, and evaluation), and core techniques used in these steps.

Part 3: Advanced record linkage techniques with a focus on linking databases containing personal information (such as those occurring in health and national census), including collective, group and graph linking techniques, as well as advanced indexing techniques that enable large-scale record linkage, and if time-permitting linking temporal and dynamic data, as well as real-time record linkage.

Part 4: Major concepts, protocols and challenges used in privacy-preserving record linkage with the aim to link databases across organisations without revealing any private or confidential information.

Cost:

£30 standard registration, Exemption available to PhD students and ADRN staff

Website and registration:

http://www.epay.ed.ac.uk/browse/extra_info.asp?compid=1&modid=2&catid=44&prodid=1954

Region:

Scotland

Keywords:

Frameworks for Research and Research Designs, Big data analytics, Data Quality and Data Management , Quantitative Data Handling and Data Analysis

Related publications and presentations:

Frameworks for Research and Research Designs
Big data analytics
Data Quality and Data Management
Quantitative Data Handling and Data Analysis

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