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

Natalie Johnston, Elizabeth Ford, Richard Tyler, Vicki Spencer-Hughes, Anotida Madzvamuse, Graham Evans, Kate Gilchrist

Open source

DOI: 10.23889/ijpds.v7i3.1937
Published: 2022-08-25
Container: International Journal of Population Data Science
Publisher: Swansea University
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.23889/ijpds.v7i3.1937,
  title = {Exploring a novel linked dataset and building linked data analytics skills in Public Health Intelligence teams in Sussex.},
  author = {Natalie Johnston and Elizabeth Ford and Richard Tyler and Vicki Spencer-Hughes and Anotida Madzvamuse and Graham Evans and Kate Gilchrist},
  year = {2022},
  journal = {International Journal of Population Data Science},
  doi = {10.23889/ijpds.v7i3.1937},
  url = {https://doi.org/10.23889/ijpds.v7i3.1937}
}

RIS

TY  - JOUR
TI  - Exploring a novel linked dataset and building linked data analytics skills in Public Health Intelligence teams in Sussex.
AU  - Natalie Johnston
AU  - Elizabeth Ford
AU  - Richard Tyler
AU  - Vicki Spencer-Hughes
AU  - Anotida Madzvamuse
AU  - Graham Evans
AU  - Kate Gilchrist
PY  - 2022
JO  - International Journal of Population Data Science
DO  - 10.23889/ijpds.v7i3.1937
UR  - https://doi.org/10.23889/ijpds.v7i3.1937
ER  -

APA

Johnston, N., Ford, E., Tyler, R., Spencer-Hughes, V., Madzvamuse, A., Evans, G., & Gilchrist, K. (2022). Exploring a novel linked dataset and building linked data analytics skills in Public Health Intelligence teams in Sussex.. International Journal of Population Data Science. https://doi.org/10.23889/ijpds.v7i3.1937

Source records

crossref · retrieved 2026-09-27T02:15:21.828Z