Fourteen quick tips for crowdsourcing geographically linked data for public health advocacy
Atienza, J., Benedict, A., Stein, L. D., Pirzada, K., White, C. & Pai, S.
(2023).
Fourteen quick tips for crowdsourcing geographically linked data for public health advocacy.
PLoS Computational Biology,
19(9).
https://doi.org/10.1371/journal.pcbi.1011285
This article presents 14 quick tips to build a team to crowdsource data for public health advocacy. It includes tips around team building and logistics, infrastructure setup, media and industry outreach, and project wrap-up and archival for posterity.
| Item Type | Article |
|---|---|
| Copyright holders | © 2023 The Author(s) |
| Departments | LSE > Academic Departments > School of Public Policy |
| DOI | 10.1371/journal.pcbi.1011285 |
| Date Deposited | 21 May 2024 |
| URI | https://researchonline.lse.ac.uk/id/eprint/123543 |
Explore Further
- https://www.scopus.com/pages/publications/85171958234 (Scopus publication)
- https://journals.plos.org/ploscompbiol/ (Official URL)
