The International Journal of Population Data Science (IJPDS) is an electronic, open-access, peer-reviewed journal focussing on the science pertaining to population data.

It publishes articles on all aspects of research, development and evaluation connected with data about people and populations. These include:

  • Accessing distributed data
  • Analytical advances
  • Architectures and infrastructures
  • Capacity building
  • Delivering and measuring impact
  • Data and linkage quality
  • Epidemiology
  • Ethical, legal and societal implications (ELSI)
  • Legal and regulatory issues
  • Linking to emerging/complex data types
  • Outcomes-based research
  • Privacy-protection methodologies
  • Public involvement and engagement
  • Service evaluations
  • Technological advances in data storage and management
  • Using big data

The creation of the IJPDS was inspired by the International Population Data Linkage Network (IPDLN). The journal has a regular section for topics of particular interest to the IPDLN sub-edited by the Director(s) of the network.

If your research is funded by UKRI (RCUK)* then you can apply for help with Article Processing Charges (APCs)?

The UKRI (RCUK) block grant is now available to its funded researchers to help pay article processing charges (APCs), enabling authors to comply with UKRI (RCUK)* open access policy.

The UKRI (RCUK)* stipulates that journals must meet the following criteria for publication:

  • A peer-review process
  • Gold open access - this allows immediate, unrestricted on-line access to peer-reviewed and published research papers, free of any access charge and with maximum opportunities for re-use
  • Publish under Creative Commons Attribution (CC-BY) licence and allow immediate deposit in other repositories

IJPDS is fully compliant with UKRI (RCUK)'s funding criteria as listed on SHERPA/RoMEO and in our author guidelines.

Follow this link to check whether your organisation is in receipt of UKRI (RCUK) open access block funding 2019.


At IJPDS we value research that truly impacts society. We are uniquely committed to connecting academia with the public and keeping them informed of exciting new research as it unfolds.

Working to bridge the gap between academic research and the public

The IJPDS' innovative model brings a new dimension to the traditional academic journal format by informing the public of the latest research and providing authors opportunities for direct impact and even greater visibility.

Engage directly with the public for maximum impact via The Conversation

In the field of Population Data Science, arguably the most important audience for your work are the ultimate beneficiaries, the public. This is where IJPDS authors can create the greatest impact of all.

To help authors disseminate the complex content of manuscripts published in IJPDS to this audience, we offer a service through The Conversation, which is an influential and independent channel for research news and views. Articles selected from the academic and research community for publishing in The Conversation are delivered directly to the public in an easy to understand general reader format, prepared by the authors from their original published manuscript.

The Conversation is truly international with Editors based in the UK, Australia, US, Africa and France, that are working with more than 55,000 specialist scholars and researchers. It is a not-for-profit, open access educational entity that provides a free on-line resource to help provide the public with clarity and insight into society's biggest problems.

Watch this video to find out how Emily Marchant, PhD Researcher from Swansea University, benefited from writing for The Conversation, or follow this link to find out more about The Conversation and to see previously published articles.

Why impact matters

The importance of impact beyond the world of academia cannot be underestimated. The ability to demonstrate the contribution of your research to and its influence on society

  1. is essential to securing future funding in an increasingly competitive market
  2. aids career progression through e.g. REF, University KPIs, PDRs and other HEIs
  3. helps develop your profile as a researcher specialising in a particular area
  4. aids networking and future collaboration
  5. has the potential to influence public policy

The Conversation can help IJPDS authors to achieve essential impact. Articles are disseminated to more than 22,000 sites worldwide, giving a global reach of 35 million readers a month, and The Conversation is a primary resource for up-to-the-minute content for the press, web, radio and TV.

Put simply, The Conversation unlocks the knowledge of researchers and academics allowing for better understanding of complex issues and a better quality of public discourse and conversations.

How to write for The Conversation

We encourage every author that publishes a manuscript in IJPDS to take full advantage of the service offered through The Conversation. As soon as your manuscript is published, we will contact you by email offering you the possibility of writing an article for The Conversation.

For authors wanting to take advantage of this service, we will forward your published manuscript* to IJPDS' designated Editor at The Conversation who will review the suitability of the content. Successful applicants will then be introduced directly to the Editor who will work closely with them to create the finished article.

*This service is available for manuscripts that undergo a full peer-review process with IJPDS

As an e-journal, IJPDS has the flexibility to publish approved manuscripts immediately without having to wait for each Issue.

As soon as a manuscript is ready, we ensure that your work is instantly available to the right audience via Open Access giving authors the greatest possibility of citations.

IJPDS benefits from an established specialist global audience spanning six continents within the field of population data science through its strategic partner, the International Population Data Linkage Network (IPDLN). We publish articles from around the world in order to highlight how the field of population data science is impacting societies globally.

IJPDS publishes research of interest to a number of sectors including:

  • Academia and research institutes
  • Governments
  • Healthcare and hospitals
  • Third sector organisations
  • Private sector organisations (e.g. Information Technology, Manufacturing, Consultancies)
  • Life Sciences

Our established readership spans a broad spectrum of specialist areas within population data science. Here is an example of the types of experts included in the Journal's readership:

  • Government officials
  • The public
  • Regulators
  • Academics (scholars, researchers, students)
  • Information governance professionals
  • Data Scientists
  • Statisticians
  • Epidemiologists and public health workers
  • Social scientists
  • Technologists (computer and information sciences)
  • Public Engagement professionals
  • Media

The IJPDS has a particular interest in engaging with the public, the ultimate beneficiaries of population data science research, which sets us apart from other scientific journals.

We value research within the field of population data science that truly impacts society and are uniquely committed to connecting academia with the public to keep them informed of exciting new research as it unfolds.

At IJPDS we appreciate that good quality research is presented in different formats.

The Journal distinguishes itself by accepting a broad range of submission formats that may be out of scope for other academic journals. These include:

  • Research articles
  • Review articles
  • Protocol papers
  • Methodological developments
  • Applied papers
  • Case studies
  • Features on a particular topic
  • Commentaries
  • Comments and letters
  • Reports of events
  • Working papers
  • General reader summaries of complex topics
  • Help-sheets and tips
  • Informative reports
  • Consultations

From 1st January 2019 all manuscript submissions will be subject to Article Processing Charges (APCs). However, we are delighted to be able to offer a 25% discount on all manuscript submissions for the first 12 months*. Please view the author guidelines for individual prices.

Whilst we are committed to keeping our APCs competitively priced for our authors, we must ensure the sustainability of IJPDS by covering all costs associated with the open access publishing process, from initial submission through to final publication and promotional activities.

Therefore, we will only ever charge what is necessary for the welfare of the journal and the satisfaction of its contributing authors.

Follow this link for details of the IJPDS Article Processing Charges

*1st January to 31st December 2019

Sharing the data that accompanies your published research is a positive growing trend for the research community. Whilst we recognise that it is not always possible to share all data openly for ethical or confidentiality reasons, IJPDS encourages the sharing of non-sensitive raw data along with details of the software used wherever possible.

Why Share Research Data?

Benefits to the research community – Datasets are valuable to the research community and re-use of data avoids duplication of effort and the associated costs. This, in turn, can stimulate further research.

Benefits to the public – Stimulating further research through data sharing wherever possible is in the public’s interest as it can help accelerate the pace of research and its subsequent impact.

Satisfying Funders – Research funders are increasingly stipulating the sharing of data as a requirement. For example, in the UK, the ESRC stipulates that grant holders must formally deposit all data in a responsible data repository.

Increase research impact – Publishing your data is not only a good way of demonstrating that you were the first to conduct the research, but if your data is re-used, then you will benefit from citations in addition to the accompanying article.

Scientific Integrity – Sharing data allows others to replicate, validate, and correct your results thereby adding to the integrity of the science.

For details on how and where to submit your data, please refer to the Author Guidelines.

Latest Articles

Published online: 26 September, 2019

Citizen Health Science

Special Issue Call for Manuscripts: 'Population Data Centre Profiles'

December 10, 2018

IJPDS would like to present a call for research articles for a special issue on ‘Population Data Centre Profiles’. Our overriding aim is to foster new opportunities for international collaborations in Population Data Science. Having a published profile of the data centre is an excellent way to document the work, raise awareness, share expertise and act as the seminal paper for future reference. 

Call for new submissions

IJPDS is now accepting new submissions and publishes on a continual basis. To submit a manuscript, you will be asked to register. IJPDS accepts a wide variety of manuscript types. Please refer to the author guidelines for the full list.

Make a Submission
issue cover

Announcing the 4th Annual International Conference on Administrative Data Research, 9-11 December 2019

Research Councils UK confirm RCUK Open Access block grant funding levels until 2020

Job Vacancies

Canada Research Chair Tier 2 - University of Manitoba, Canada

Risk factors for hospitalizations associated with depression among women during the years around a birth: a retrospective cohort study

Jennifer Christine Fairthorne, Tim F Oberlander, Rollin Brant, Gillian E Hanley
Published online: Jan 21, 2019

Measuring multimorbidity in hospitalised patients using linked hospital episode data: comparison of two measures

Lynn Robertson, Dolapo Ayansina, Marjorie Johnston, Angharad Marks, Corri Black
Published online: Jan 21, 2019

The Good, the Bad, the Clunky

Kerina Helen Jones, Sharon Heys, Karen S Tingay, Paul Jackson, Chris Dibben
Published online: Jan 21, 2019

Linking Survey and Administrative Data to Measure Income, Inequality, and Mobility

Carla Medalia, Bruce D Meyer, Amy B O'Hara, Derek Wu
Published online: Jan 31, 2019

Consensus Statement on Public Involvement and Engagement with Data-Intensive Health Research

Mhairi Aitken, Mary P Tully, Carol Porteous, Simon Denegri, Sarah Cunningham-Burley, Natalie Banner, Corri Black, Michael Burgess, Lynsey Cross, Johannes van Delden, Elizabeth Ford, Sarah Fox, Natalie Fitzpatrick, Kay Gallacher, Catharine Goddard, Lamiece Hassan, Ron Jamieson, Kerina H Jones, Minna Kaarakainen, Fiona Lugg-Widger, Kimberlyn McGrail, Anne McKenzie, Rosalyn Moran, Madeleine J Murtagh, Malcolm Oswald, Alison Paprica, Nicola Perrin, Emma Victoria Richards, John Rouse, Joanne Webb, Donald J Willison
Published online: Feb 12, 2019

Health Data Linkage for Public Interest Research in the UK: Key Obstacles and Solutions

Miranda Jane Mourby, Kerina H Jones, Ruth Gilbert, Stergios Aidinlis, Hannah Smith, Jessica Bell, Peter Dutey-Magni, Jane Kaye
Published online: Apr 2, 2019

Record linkage to enhance consented cohort and routinely collected health data from a UK birth cohort

Karen Susan Tingay, Amrita Bandyopadhyay, Lucy Griffiths, Ashley Akbari, Sinead Brophy, Helen Bedford, Mario Cortina-Borja, Efrosini Setakis, Suzanne Walton, Emla Fitzsimons, Carol Dezateux, Ronan Lyons
Published online: Apr 2, 2019

Using Canadian administrative health data to measure the health of caregivers of children with and without health problems: A demonstration of feasibility.

Jamie C Brehaut, Anne Guèvremont, Rubab G Arim, Rochelle E Garner, Anton R Miller, Kimberlyn M McGrail, Marni Brownell, Lucyna M. Lach, Peter L. Rosenbaum, Dafna E Kohen
Published online: Apr 2, 2019

Sharing linked data sets for research: results from a deliberative public engagement event in British Columbia, Canada

Jack Teng, Colene Bentley, Michael M Burgess, Kieran C O'Doherty, Kimberlyn M McGrail
Published online: May 7, 2019

Privacy preserving linkage using multiple dynamic match keys

Sean Randall, Adrian P Brown, Anna M Ferrante, James H Boyd
Published online: May 23, 2019

Evaluation of approximate comparison methods on Bloom filters for probabilistic linkage

Adrian P Brown, Sean M Randall, James H Boyd, Anna M Ferrante
Published online: May 23, 2019

Using deterministic record linkage to link ambulance and emergency department data: is it possible without patient identifiers?

Sophie Jane Clark, Mary Halter, Alison Porter, Holly Christina Smith, Martin Brand, Rachael Fothergill, Jaqualine Lindridge, Martin McTigue, Helen Snooks
Published online: Aug 5, 2019

Exploring barriers and solutions in advancing cross-centre population data science

Kerina H Jones, Sharon M Heys, Helen Daniels, David V Ford
Published online: Aug 5, 2019

Data Resource: Vascular Risk in Adult New Zealanders (VARIANZ) datasets

Suneela Mehta, Rod Jackson, Daniel J Exeter, Billy P Wu, Sue Wells, Andrew J Kerr
Published online: Sep 2, 2019

Citizen Health Science

Theodore Adrien Walls, Shannon Forkus, Abbigayle Coria
Published online: Sep 26, 2019

Data Resource: the National Pupil Database (NPD)

Matthew Alexander Jay, Louise Mc Grath-Lone, Ruth Gilbert
Published online: Mar 20, 2019

The Baby Hearts Study – a case-control methodology with data linkage to evaluate risk and protective factors for congenital heart disease

Nichola McCullough, Helen Dolk, Maria Loane, Briege M Lagan, Frank Casey, Brian Craig
Published online: Apr 8, 2019

Electronic Longitudinal Alcohol Study in Communities (ELAStiC) Wales – protocol for platform development

Laszlo Trefan, Ashley Akbari, Shantini Paranjothy, Daniel Mark Farewell, Andrea Gartner, David Fone, Giles Jeremy Greene, Anette Evans, Ann Smith, Victor Adekanmbi, Jonathan Kennedy, Ronan Anthony Lyons, Simon Moore
Published online: May 20, 2019

Tools for Transparency in Central Government Spending

Charles Rahal
Published online: Jul 10, 2019

Protocol for evaluation of enhanced models of primary care in the management of stroke and other chronic disease (PRECISE)

Nadine E Andrew, Joosup Kim, Dr, Dominique A Cadilhac, Prof, Vijaya Sundararajan, Prof, Amanda G Thrift, Prof, Leonid Churilov, Prof, Natasha A Lannin, Associate Professor, Velandai Srikanth, Prof, Monique F Kilkenny, Dr
Published online: Aug 5, 2019

Data Resource Profile The Scottish Social Care Survey (SCS) and the Scottish Care Home Census (SCHC)

David Alexander Gunn Henderson, Jennifer Kirsty Burton, Ellen Lynch, David Clark, Julie Rintoul, Nick Bailey
Published online: Sep 2, 2019

Constructing a toolkit to evaluate quality of state and local administrative data

Zachary H. Seeskin, Gabriel Ugarte, A. Rupa Datta
Published online: Jan 31, 2019

The Experience of Establishing Data Sharing & Linkage Platforms for Administrative, Research and Community-Service Data

Kiran Pohar Manhas, Xinjie Cui, PhD, MBA, Suzanne C Tough, PhD
Published online: Feb 13, 2019

Notches on the dial: a call to action to develop plain language communication with the public about users and uses of health data

P Alison Paprica, Kimberlyn McGrail, Michael J Schull, Dr.
Published online: Aug 5, 2019

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