The International Journal of Population Data Science (IJPDS) is
an electronic, open-access, peer-reviewed journal focussing on the science pertaining to population
data. Importantly, this must be population data at the individual person level. Submissions that relate
only to aggregated or statistical datasets are out of scope. Furthermore, submissions must address one
or more of the categories of Population Data Science.
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.
UK Research and Innovation’s (UKRI) new policy will increase opportunity for the findings of publicly
funded research to be accessed, shared and reused.
Following extensive consultation with the sector, UKRI has published a single Open Access Policy for
research publications that acknowledge funding from its councils.
UKRI’s updated policy requires immediate open access for peer-reviewed research articles submitted for
publication from 1 April 2022.
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.
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.
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.
We are very excited here at IJPDS to announce that Crowd is now LIVE – the very first online
global Population Data Science community!
This is a dedicated online global meeting space specifically designed for the entire Population Data
Science community, to come together wherever you are in the world.
It is free to join this exceptional and diverse international community, which now enables us all to
meet, chat, share and showcase, in real-time, whenever we want.
Plus, you will find a growing body of Population Data Science resources on Crowd such as courses to
attend, specialist groups to join, live stream conferences and events, webinars and more.
Crowd opens up new possibilities for us all to freely connect with one another for the very first
time by removing barriers, borders and restrictions. Now, we can communicate and collaborate, and
really create some impact together!
Crowd is now OPEN.
So, let’s all sign up and make this a vibrant global community!
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.
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.
The International Journal of Population Data Science has been recommended to and accepted for inclusion in ANVUR, the Italian National Agency for the Evaluation of Universities and Research Institutes, as a Class A journal for the subject "Demography and Social Statistics". https://www.anvur.it/en/homepage/
The Italian Ministry for University opens the possibility to Scientific Societies to suggest Journals for the Class A list annually, and we are grateful to Professors Cecilia Tomassini and Daniele Vignoli, President and Vice President of the Associazione Italiana per gli Studi di Popolazione for their endorsement.
We look forward to working more closely with our Italian colleagues and publishing some of the fantastic research from the region!
We are proud to announce that the International Journal of Population Data Science (IJPDS) has been awarded the DOAJ Seal for best practice in open access publishing.
IJPDS is indexed in the Web of Science Emerging Sources Citation Index (ESCI)™, the world’s most trusted publisher-independent global citation database. Thank you to our Authors, Editors and Peer Reviewers!
Open Calls
Data Transparency Special Issue
Data Transparency is an emerging and essential element in building public trust in the use of personal health and social care data (especially sensitive data) and how such data is being used for research.
Special Collection Call - Notes on Population Data
This collection will consist of articles that allow researchers and practitioners to report on unexpected
or underestimated data issues they encountered during their population data science projects. These can
be any of the aspects of how data was collected, recorded, sampled, captured, processed, standardised,
cleaned, transformed, linked, integrated, and merged/fused.
This collection will consist of large population datasets that are of interest for Population Data
Science research, and that are available for researchers to use. For example (although not limited to)
survey data (cohort and longitudinal), administrative data and digital footprint data collected at a
regional, national or international level.
