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.
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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.
PLEASE NOTE: 2021 will be the final year of the UKRI Open Access block grant allocation, so please check with your research institution to find out when the application process opens.
(*UKRI (RCUK) includes AHRC, EPSRC, ESRC, MRC, NERC, NC3Rs and STFC)
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.
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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
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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 Article
Published online: Apr 15, 2021
September 14, 2020
The leading Population Data Science journal further expands its growing credentials with its inclusion in PubMed Central
Swansea, Wales, September 2020 - The International Journal of Population Data Science (IJPDS) is proud to announce their inclusion in PubMed Central.
It seems that 2020 is certainly the year for IJPDS! Not only has the journal recently been indexed in Scopus, but we are also delighted to announce that IJPDS has been accepted for indexing in PubMed Central® (PMC), and is now live on the platform. The IJPDS team based in Population Data Science at Swansea University Medical School has invested two years preparing for PMCs exacting requirements followed by a very rigorous 6 stage evaluation and set up process, before gaining PMC approval and securing this outstanding achievement. This is a significant addition to the journal’s impressive list of credentials and another positive step forward in the advancement of the field of Population Data Science.
September 3, 2020
The leading Population Data Science journal expands its growing credentials with its inclusion in Scopus
Swansea, Wales, September 2020 - The International Journal of Population Data Science (IJPDS) is proud to announce their inclusion in Scopus, ‘The largest abstract and citation database of peer-reviewed literature.’
In just 3 years since its launch, IJPDS has ensured its presence in some of the world’s leading scholastic indexes and directories, and has acquired an impressive list of credentials. Continuing this trend and to ensure ongoing high quality services for its authors, all articles published in IJPDS are now fully searchable and available via open access on Scopus.
July 27, 2020
The International Population Data Linkage Network (IPDLN) and the International Journal of Population Data Science (IJPDS) are proud to announce their alliance with the signing of their first formal Memorandum of Understanding (MOU).
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.
2021 Special Issue
To start the New Year off with real impact, we are dedicating our 2021 Special Issue to: 'Work designed to influence policy and practice.'
The first deadline for the special issue is 31st May 2021, with further calls to follow.
Access the full details of the call here.
If you're unsure if your manuscript is appropriate for the call, or if you have any other queries about the special issue, please contact us at: contact@ijpds.org
Special Call for manuscripts – Population Data Science for COVID-19
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.
We will endeavour to expedite the review process and to publish articles in this special issue as a priority.
Access the full details of the call here.
Call for Letters to the Editor
Has an IJPDS article captured your attention?
Do you have something valuable to add?
Then why not submit a Letter to the Editor?
Scientific discourse doesn’t stop on publication – help us to build on these new discoveries with your own knowledge and ideas.
For more details see our author guidelines.
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
