International Journal of Population Data Science
{{Infobox journal
| title = International Journal of Population Data Science
| image =
| former_name =
| abbreviation = Int. J. Popul. Data Sci.
| discipline = Demography
| language =
| editor = Kerina Jones
| publisher = Swansea University
| country = United Kingdom
| history = 2017–present
| frequency = Upon acceptance
| openaccess = Yes
| license = Creative Commons Attribution
| impact =
| impact-year =
| ISSN =
| eISSN = 2399-4908
| CODEN =
| JSTOR =
| LCCN = 2019243015
| OCLC = 1048193321
| website = https://ijpds.org/index
| link1 =
| link1-name =
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}}
International Journal of Population Data Science, also known as IJPDS, is a peer-reviewed open-access journal publishing original research on issues in population data science and administrative data linkage to advance population study across health, education, environment and other domains. It was established in 2017 in partnership with the International Population Data Linkage Network (IPDLN).{{Cite web |last= |first= |title=International Population Data Linkage Network |url=https://www.ipdln.org/|publisher= |date= |accessdate=7 July 2021}}{{Cite web |last= |first= |title=International Journal of Population Data Science (IJPDS) launched |url=https://www.ices.on.ca/Newsroom/Announcements-and-Events/2017/New-Journal-Launch |publisher=ICES |date= 20 April 2017|location=Toronto}}
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.{{Cite web |last= |first= |title=The Four Categories of Population Data Science |url=https://ijpds.org/index |publisher= Int J Popul Data Sci |date= |accessdate=7 July 2021}}{{Cite journal |last=McGrail |first=Kim |title=A Position Statement on Population Data Science: The science of data about people|doi= 10.23889/ijpds.v3i1.415 |journal= Int J Popul Data Sci|volume= 3|year= 2018|issue=1 |page=415 |pmid=34095517 |pmc= 8142960}}
Abstracting and indexing
The journal is indexed in the Directory of Open Access Journals, PubMed, MEDLINE,{{Cite web |title=International journal of population data science. - NLM Catalog - NCBI |url=https://www.ncbi.nlm.nih.gov/nlmcatalog/?term=currentlyindexed%5BAll+Fields%5D+AND+currentlyindexedelectronic%5BAll+Fields%5D+International+Journal+of+Population+Data+Science |access-date=2022-12-30 |website=www.ncbi.nlm.nih.gov}} 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.{{Cite news |last= Quadir|first=Shamim |title=Involving service users in the Birth Timing Study |url=https://www.city.ac.uk/news-and-events/news/2020/11/involving-service-users-in-the-birth-timing-study |publisher= City University of London |date= 2 November 2020}} 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".{{cite web |title=Special Call for manuscripts–Population Data Science for COVID-19 |year=2020 |last1= |first1= |publisher=Int J Popul Data Sci |url=https://ijpds.org/announcement/view/13}} 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.{{cite news |last1= Paprica|first1=P. Alison |last2= Thorogood|first2=Adrian |last3= Ryan|first3=Alex |last4= McGrail|first4=Kimberlyn |last5= Schull|first5=Michael J. |date= 10 September 2020|title= Health data collected during the coronavirus pandemic needs to be managed responsibly|url=https://theconversation.com/health-data-collected-during-the-coronavirus-pandemic-needs-to-be-managed-responsibly-141978 |journal=The Conversation |location=Toronto |access-date=}}
In 2021, the journal issued a call for papers on the theme "Work designed to influence policy and practice."{{Cite web |last= |first= |title=Call for manuscripts for the 2021 Special Issue: 'Work designed to influence policy and practice'|url=https://ijpds.org/work-designed-to-influence-policy/ |publisher=Int J Popul Data Sci |year=2021 |accessdate=7 July 2021}}
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. [https://ijpds.org/editorial-board]
See also
- [https://www.ipdln.org/ International Population Data Linkage Network]
- [https://www.phrn.org.au/ Population Health Research Network (PHRN)], Western Australia
- [https://www.adruk.org/ Administrative Data Research UK (ADR UK)]
- [https://www.hdruk.ac.uk/ Heath Data Research UK (HDR UK)]
- [https://saildatabank.com/ Secure Anonymised Information Linkage (SAIL) Databank], Swansea University
- [https://www.hdrn.ca/ Health Data Research Network Canada]
- [https://www.popdata.bc.ca/ Population Data BC], British Columbia, Canada
- [https://www.aisp.upenn.edu/ Actionable Intelligence for Social Policy (AISP)], Philadelphia, USA
- [https://www.ices.on.ca/ ICES (Formally the Institute for Clinical Evaluative Sciences], Ontario, Canada
References
External links
- {{Official website|https://ijpds.org/index}}
Category:Academic journals established in 2017