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

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

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

Call for Manuscripts 'Public Involvement & Engagement' - Deadline Extended

June 1, 2020

We have been overwhelmed with responses to the PI&E special issue call and, as we have received requests from a number of authors that are unable to meet the original deadline date due to the global crisis, it is with pleasure that we are extending the deadline to Friday 31st July 2020, with further calls to follow.

Special Call for manuscripts – Population Data Science for COVID-19

April 6, 2020

We find ourselves in a global pandemic, referred to as COVID-19. There is much research underway on all aspects of the pandemic, including to slow its spread, improve diagnostic tests and develop a vaccine. Population Data Science has a unique part to play because of the availability of large-scale datasets on the general population or on specific cohorts, such as age groups, geographic regions, particular health conditions or socio-economic levels.

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

Developing a comprehensive database with sensitive health information: A profile of people living with HIV in Newfoundland and Labrador, Canada

Shabnam Asghari, Sarah Boyd, John Knight, Jillian Blackmore, Oliver Hurley, Jill Allison, Laura Gilbert, Jeff Dowden, Phil Lundrigan
Published online: Feb 25, 2020

Cohort profile: The Secure Anonymised Information Linkage databank Dementia e-cohort (SAIL-DeC)

Christian Schnier, Tim Wilkinson, Ashley Akbari, Chris Orton, Kristel Sleegers, John Gallacher, Ronan A Lyons, Cathie LM Sudlow
Published online: Feb 25, 2020

Immigrant and ethnic neighbourhood concentration and reduced child developmental vulnerability

Daphne N. McRae, Nazeem Muhajarine, Magdalena Janus, Eric Duku, Marni Brownell, Barry Forer, Martin Guhn
Published online: Feb 26, 2020

Psychosocial disadvantage and residential remoteness is associated with Aboriginal women’s mental health prior to childbirth

Sunil Kumar Bhat, Rhonda Marriott, Megan Galbally, Carrington CJ Shepherd
Published online: Feb 26, 2020

Identifying young Aboriginal and Torres Strait Islander children in linked administrative data: A comparison of methods

Bridgette J McNamara, Jocelyn Jones, Carrington CJ Shepherd, Lina Gubhaju, Grace Joshy, Daniel McAullay, David B Preen, Louisa Jorm, Sandra J Eades
Published online: Mar 16, 2020

Prevalence of Down's Syndrome in England, 1998–2013

James C Doidge, PhD, Joan K Morris, PhD, Katie L Harron, PhD, Sarah Stevens, Ruth Gilbert, MD
Published online: Mar 19, 2020

Identifying incident cancer cases in dispensing claims

Benjamin Daniels, Sallie-Anne Pearson
Published online: Mar 19, 2020

Defining a study population using enhanced reporting of Aboriginality and the effects on study outcomes

Carol Anne McInerney, Siranda Torvaldsen, Jane B Ford, Jonathan M Morris, Michael Nelson, Deborah Randall
Published online: Mar 20, 2020

Is there an agreement between self-reported medical diagnosis in the CARTaGENE cohort and the Québec administrative health databases?

Yves Payette, Cristiano Soares de Moura, Catherine Boileau, Sasha Bernatsky, Nolwenn Noisel
Published online: Mar 26, 2020

The effect of number of healthcare visits on study sample selection in electronic health record data

Laura Rasmussen-Torvik, Al'ona Furmanchuk, Alexander Stoddard, Kristen Osinski, John Meurer, Nicholas Smith, Elizabeth Chrischilles, Bernard Black, Abel Kho
Published online: Apr 2, 2020

A national initiative in data science for health: an evaluation of the UK Farr Institute

Harry Hemingway, FFPH FRCP FMedSci, Ronan Lyons, Qianrui Li, Iain Buchan, John Ainsworth, Jill Pell, Andrew Morris
Published online: Apr 8, 2020

The Mortality After Release from Incarceration Consortium (MARIC): Protocol for a multi-national, individual participant data meta-analysis

Rohan Borschmann, Holly Tibble, Matthew J Spittal, David Preen, Jane Pirkis, Sarah Larney, David L Rosen, Jesse T Young, Alexander D Love, Frederick L Altice, Ingrid A Binswanger, Anne Bukten, Tony Butler, Zheng Chang, Chuan-Yu Chen, Thomas Clausen, Peer Brehm Christensen, Gabriel J Culbert, Louisa Degenhardt, Anja J.E. Dirkzwager, Kate Dolan, Seena Fazel, Colin Fischbacher, Margaret Giles, Lesley Graham, David Harding, Yen-Fang Huang, Florence Huber, Azar Karaminia, Fiona G Kouyoumdjian, Sungwoo Lim, Lars Møller, Akm Moniruzzaman, Jeffrey Morenoff, Eamonn O'Moore, Lia N Pizzicato, Daniel Pratt, Scott F Proescholdbell, Shabbar I Ranapurwala, Meghan E Shanahan, Jenny Shaw, Amanda Slaunwhite, Julian M Somers, Anne C Spaulding, Marc F Stern, Kendra M Viner, Nadia Wang, Melissa Willoughby, Bin Zhao, Stuart A Kinner
Published online: Feb 25, 2020

Parity: A key measure of confounding in data-linkage studies of outcomes after medically assisted reproduction

Georgina M Chambers, Associate Professor, Christos A Venetis, Dr, Louisa R Jorm, Professor, Claire M Vajdic, Associate Professor
Published online: Mar 16, 2020

Evaluation of the effectiveness of the Family Nurse Partnership home visiting programme in first time young mothers in Scotland: a protocol for a natural experiment

Fiona V Lugg-Widger, Michael Robling, Mandy Lau, Shantini Paranjothy, Jill Pell, Julia Sanders, James White, Rebecca Cannings-John
Published online: Mar 16, 2020

Childhood adversity, mental health and suicide (CHASE): a protocol for a longitudinal case-control linked data study

Nadine J Dougall, Jan Savinc, Margaret Maxwell, Thanos Karatzias, Rory C O'Connor, Brian Williams, Graeme Grandison, Ann John, Helen Cheyne, Claire Fyvie, Jonathan I Bisson, Carina Hibberd, Susan Abbott-Smith, Liz Nolan
Published online: Apr 2, 2020

Empowering knowledge generation through international data network: the IMeCCHI-DATANETWORK

Lucia Otero Varela, Marie-Annick Le Pogam, Amy Metcalfe, Pia Kjær Kristensen, Phil Hider, Alka Patel, Hongsoo Kim, Emanuele Carlini, Raffaele Perego, Rosa Gini
Published online: Feb 25, 2020

Data Resource: Children and Family Court Advisory and Support Service (Cafcass) public family law administrative records in England

Stuart Bedston, Rachel Pearson, Matthew A Jay, Karen Broadhurst, Ruth Gilbert, Linda Wijlaars
Published online: Mar 26, 2020

Using general practice clinical information system data for research: the case in Australia

David Youens, Rachael Moorin, Amy Harrison, Richard Varhol, Suzanne Robinson, Caroline Brooks, James Boyd
Published online: Jan 27, 2020

National data opt out programme: consequences for maternity services in England

Kate Marie Lewis, Pia Hardelid
Published online: Jan 30, 2020

Unlocking the Potential of Electronic Health Records for Health Research

Seungwon Lee, Yuan Xu, Adam G D'Souza, Elliot A Martin, Chelsea Doktorchik, Zilong Zhang, Hude Quan
Published online: Jan 30, 2020

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