International Journal of Population Data Science, also known as IJPDS, is a peer-reviewedopen-access journal publishing original research on issues in population data science and administrative data linkage to advance population study across health, education, environment and other domains. It was established in 2017 in partnership with the International Population Data Linkage Network (IPDLN).[1][2]
The journal publishes articles under four categories of population data science: (1) Data use for population impact; (2) Bringing together and analysing data from multiple sources; (3) Identifying population level insights; and (4) Developing safe, privacy-sensitive and ethical infrastructure to support research.[3][4]
Research published in the journal has found that enhancing public policy relevance of data linkage studies can help ensure social legitimacy.[6] The journal also occasionally publishes themed collections. In 2020, the journal issued a call for papers on the theme "Population data science for COVID-19".[7] Given the unprecedented impacts of the global pandemic, health data researchers identified and published their recommendations for approaches to timely and equitable data sharing for research and analysis.[8]
In 2021, the journal issued a call for papers on the theme "Work designed to influence policy and practice."[9]
Editorial Board
The journal's Founding Editor-in-Chief is Professor Kerina Jones of Swansea University, UK, and the journal's Deputy Editor is Professor Kim McGrail from the University of Columbia, Canada. Together they lead a panel of 17 international editors.
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