Introduction to Data Linkage and Analysing Linked Data (fully booked)
Date:
01/04/2019 - 02/04/2019
Organised by:
NCRM, University of Southampton
Presenter:
Dr Katie Harron and Dr James Doidge
Level:
Entry (no or almost no prior knowledge)
Contact:
Jacqui Thorp
Training and Capacity Building Co-ordinator
National Centre for Research Methods
Tel: 02380594069
Email: jmh6@soton.ac.uk
Map:
View in Google Maps (NW1 2DA)
Venue:
UCL, Institute of Health Informatics, 222 Euston Road, London,
Description:
This short course is designed to give participants a practical introduction to data linkage and is aimed at researchers either intending to use data linkage themselves or those who want to understand more about the process so that they can analyse linked data. Day 1 (Introduction to Data Linkage) will cover examples of the uses of data linkage, data preparation, and methods for linkage (including deterministic and probabilistic approaches and privacy-preserving linkage). Day 2 (Introduction to Analysing Linked Data) will cover processing of linked data, concepts of linkage error and bias, and handling linkage error in analysis. The main focus of this course will be health data, although the concepts will apply to many other areas. This course includes a mixture of lectures and practical sessions that will enable participants to put theory into practice.
The course covers:
- Overview of data linkage (data linkage systems, benefits of data linkage, types of projects)
- Overview of linkage methods (deterministic and probabilistic, privacy-preserving)
- The linkage process (data preparation, blocking, classification)
- Classifying linkage designs
- Evaluating linkage quality and bias (types of error, analysis of linked data)
- Reporting analysis of linked data
- Practical sessions
By the end of the course participants will:
- Understand the background and theory of data linkage methods
- Perform deterministic and probabilistic linkage
- Evaluate the success of data linkage
- Appropriately report analysis based on linked data
The course is aimed at researchers who need to gain an understanding of data linkage techniques and of how to analyse linked data. The course provides an introduction to data linkage theory and methods for those who might be using linked data in their own work. Participants may be academic researchers in the social and health sciences or may work in government, survey agencies, official statistics, for charities or the private sector.
The course does not assume any prior knowledge of data linkage. Some experience of using Excel or other software will be useful for the practical session.
Cost:
The fee per teaching day is:
• £30 per day for UK/EU registered students
• £60 per day for staff at UK/EU academic institutions, UK/EU Research Councils researchers, UK/EU public sector staff and staff at UK/EU registered charity organisations and recognised UK/EU research institutions.
• £220 per day for all other participants
All fees include event materials, lunch, morning and afternoon tea. They do not include travel and accommodation costs.
A full refund is available 2 weeks prior to the course, NO refunds are available after this date.
Region:
Greater London
Keywords:
Quality in Quantitative Research, Data matching , Use of administrative sources , Longitudinal research
Related publications and presentations:
Quality in Quantitative Research