International Population Data Linkage Network (IPDLN)
About the IPDLN
The IPDLN facilitates communication between centres that specialize in data linkage and users of linked data. The producers and users alike are committed to the systematic application of data linkage to produce community benefit in the population and health-related domains. Participants from Canada, the UK, Australia and New Zealand attended the 2008 inaugural meeting of the IPDLN (then known as the IHDLN), held in London, UK and hosted by the Research and Development Directorate of the National Health Service. The IPDLN now boasts over 400 members.
Every two years, directorship of the IPDLN moves sites. ICES and the O’Brien Institute for Public Health at the University of Calgary have assumed co-directorship for 2017-2018.
Interim Executive Team 2017-18
IPDLN 2018 Conference
In 2018, the IPDLN Conference will be held at the Banff Centre, located in Banff National Park in Alberta, Canada. The conference will take place September 12-14, with a pre-conference day September 11. The overall themes will build on previous work done by IPDLN as well as relevant emerging health data linkage areas such as such as data and linkage quality, data linkage methodology, pan-jurisdictional and cross-sectoral data linkage, emerging data types, privacy, regulation and governance, data analytics, and data linkage for policy development.
International Journal of Population Data Science
The International Journal of Population Data Science, is an open-access, peer-reviewed journal that publishes articles “on all aspects of research, development and evaluation connected with data about people and populations.” The creation of the IJPDS was inspired by the IPDLN.The journal has a regular section for topics of particular interest to the IPDLN sub-edited by the director(s) of the network. The inaugural edition features an editorial by Dr. Michael Schull, ICES President and CEO, and Dr. William Ghali, Director of the O'Brien Institute for Public Health, on the opportunities inherent in the growing network.