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
Architectures and infrastructures
Delivering and measuring impact
Data and linkage quality
Ethical, legal and societal implications (ELSI)
Legal and regulatory issues
Linking to emerging/complex data types
Public involvement and engagement
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.
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!
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)
Readership - Reaching the Right Audience
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
Healthcare and hospitals
Third sector organisations
Private sector organisations (e.g. Information Technology, Manufacturing, Consultancies)
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:
Academics (scholars, researchers, students)
Information governance professionals
Epidemiologists and public health workers
Technologists (computer and information sciences)
Public Engagement professionals
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.
The International Population Data Linkage Network (IPDLN) is delighted to announce that tickets to this year’s conference are now available! The event will be held in Edinburgh, Scotland, 7-9 September.
Deadline for early bird & group rate tickets: 5 June 2022
We are delighted to have another prestigious directory under our belt with the inclusion of IJPDS in MEDLINE.
MEDLINE is the National Library of Medicine’s (NLM) premier bibliographic database that contains more than 28 million references to journal articles in life sciences, with citations from more than 5,200 worldwide journals in about 40 languages. and its records are indexed with NLM Medical Subject Headings (MeSH). A distinctive feature of MEDLINE is that the records are indexed with NLM Medical Subject Headings (MeSH).
Special Call for manuscripts – Bringing together non-routine and routine data
This special call is for articles on bringing together non-routine data with routinely-collected population datasets. Non-routine data are defined here are as data collected for their primary purpose and so could be from: e.g. a survey, a clinical trial, an audit, an evaluation, a registry, a biobank, and various kinds of quantitative or qualitative research study.
Re-opening the call for Data Centre Profile articles
In 2019, IJPDS issued a call for Data Centre Profile articles. We are very pleased to announce that we’re re-opening this call to allow further articles to be submitted.
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.
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.