Fourteen quick tips for crowdsourcing geographically linked data for public health advocacy

被引：0

作者：

Atienza, Joshua ^{[1
]}

Benedict, Anjalee ^{[2
]}

Stein, Lincoln D. ^{[3
,4
]}

Pirzada, Kashif ^{[5
]}

White, Cheryl ^{[6
]}

Pai, Shraddha ^{[3
,7
]}

机构：

[1] Univ Toronto, London Sch Econ, Sch Publ Policy, Munk Sch, Toronto, ON, Canada

[2] Univ Toronto, St George Campus, Toronto, ON, Canada

[3] Ontario Inst Canc Res, Toronto, ON, Canada

[4] Univ Toronto, Dept Mol Genet, Toronto, ON, Canada

[5] McMaster Univ, Fac Hlth Sci, Hamilton, ON, Canada

[6] Community Access Ventilat Informat CAVI, Toronto, ON, Canada

[7] Univ Toronto, Dept Mol Biophys, Toronto, ON, Canada

来源：

PLOS COMPUTATIONAL BIOLOGY | 2023年 / 19卷 / 09期

关键词：

Crowdsourcing - Public health;

D O I：

10.1371/journal.pcbi.1011285

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

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.

引用

页数：14

共 20 条

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