International Journal of Population Data Science

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Scope

The journal publishes articles under four categories of population data science: (1) Data use for population impact; (2) Bringing together and analysing data from multiple sources; (3) Identifying population level insights; and (4) Developing safe, privacy-sensitive and ethical infrastructure to support research. [3] [4]

Abstracting and indexing

The journal is indexed in the Directory of Open Access Journals, PubMed, MEDLINE, [5] PubMed Central, Europe PMC, Scopus, ResearchGate and WorldCat, among other scientific publication indexes and directories. Based on its CiteScore metric of 1.6 in 2017–2020, the journal ranked in the top tercile out of 109 tracked journals of similar scope.

Contents

Research published in the journal has found that enhancing public policy relevance of data linkage studies can help ensure social legitimacy. [6] The journal also occasionally publishes themed collections. In 2020, the journal issued a call for papers on the theme "Population data science for COVID-19". [7] Given the unprecedented impacts of the global pandemic, health data researchers identified and published their recommendations for approaches to timely and equitable data sharing for research and analysis. [8]

In 2021, the journal issued a call for papers on the theme "Work designed to influence policy and practice." [9]

Editorial Board

The journal's Founding Editor-in-Chief is Professor Kerina Jones of Swansea University, UK, and the journal's Deputy Editor is Professor Kim McGrail from the University of Columbia, Canada. Together they lead a panel of 17 international editors.

See also

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References

  1. "International Population Data Linkage Network" . Retrieved 7 July 2021.
  2. "International Journal of Population Data Science (IJPDS) launched". Toronto: ICES. 20 April 2017.
  3. "The Four Categories of Population Data Science". Int J Popul Data Sci. Retrieved 7 July 2021.
  4. McGrail, Kim (2018). "A Position Statement on Population Data Science: The science of data about people". Int J Popul Data Sci. 3 (1): 415. doi:10.23889/ijpds.v3i1.415. PMC   8142960 . PMID   34095517.
  5. "International journal of population data science. - NLM Catalog - NCBI". www.ncbi.nlm.nih.gov. Retrieved 2022-12-30.
  6. Quadir, Shamim (2 November 2020). "Involving service users in the Birth Timing Study". City University of London.
  7. "Special Call for manuscripts–Population Data Science for COVID-19". Int J Popul Data Sci. 2020.
  8. Paprica, P. Alison; Thorogood, Adrian; Ryan, Alex; McGrail, Kimberlyn; Schull, Michael J. (10 September 2020). "Health data collected during the coronavirus pandemic needs to be managed responsibly". The Conversation. Toronto.
  9. "Call for manuscripts for the 2021 Special Issue: 'Work designed to influence policy and practice'". Int J Popul Data Sci. 2021. Retrieved 7 July 2021.