Data Resource Profiles


IJPDS is delighted to present this new call for manuscripts for our brand new special collection of Data Resource Profiles.

The collection will consist of large population datasets that are of interest for Population Data Science research, and that are available for researchers to use. Examples include (although not limited to) survey (cohort and longitudinal), administrative1 and digital footprint data2 collected at a regional, national or international level.

Submissions to this collection should typically include the following:

  • A description of the data resource and what makes it unique
  • Background as to why and how the dataset was produced
  • A description of any data linkage
  • Contents of the data such as size, geographical specifications, specific populations
  • Explanation as to how the data has already been and/or is currently being used
  • Recommendations for how other researchers might use the data
  • Details of how to access the data and governance

Please refer to the Author Guidelines/How to Format Data Resource Profiles for specifics on how to format your manuscript before completing your submission.

This call will remain always open so that we can compile Data Resource Profiles on a continuous basis and share this valuable corpus with the global Population Data Science community into the future.

All manuscripts must be centred on Population Data Science, as per the scope of IJPDS.

To submit a manuscript: either login to your existing account or register if you are submitting for the first time.


1 Administrative data is created when people interact with public services that keep records to carry out their day-to-day work. Although not originally created for research, this data has great potential to provide insights to help policymakers and others make better informed decisions.

2 People’s interactions with the world and each other are increasingly mediated by digital devices. These interactions create digital footprints data from a range of sources including: internet and social media, geo-spatial, commercial and transactional, sensor and image. They can be harnessed to understand and address key research, business and policy questions about our increasingly digital society.