Exploring a novel linked dataset and building linked data analytics skills in Public Health Intelligence teams in Sussex. (2022)

Record Type:: Journal Article
Title:: Exploring a novel linked dataset and building linked data analytics skills in Public Health Intelligence teams in Sussex. (2022)
Main Title:: Exploring a novel linked dataset and building linked data analytics skills in Public Health Intelligence teams in Sussex
Authors:: Johnston, Natalie
Ford, Elizabeth
Tyler, Richard
Spencer-Hughes, Vicki
Madzvamuse, Anotida
Evans, Graham
Gilchrist, Kate
Clay, Jacqueline
Is Part Of:: International journal of population data science. Volume 7:Number 3(2022)
Journal:: International journal of population data science
Issue:: Volume 7:Number 3(2022)
Issue Display:: Volume 7, Issue 3 (2022)
Year:: 2022
Volume:: 7
Issue:: 3
Issue Sort Value:: 2022-0007-0003-0000
Page Start:
Page End:
Publication Date:: 2022
Subjects:: Population research -- Periodicals
Population -- Data processing -- Periodicals
Population -- Statistical methods -- Periodicals
304.6072
Journal URLs:: https://ijpds.org/ ↗
DOI:: ↗
Languages:: English
ISSNs:: 2399-4908
Deposit Type:: Legaldeposit
View Content:: Available online (eLD content is only available in our Reading Rooms) ↗
Physical Locations:: British Library HMNTS - ELD Digital store
Ingest File:: 23278.xml