(Re)using Crowdsourced Health Data: Perceptions of Data Contributors

Andy Alorwu; Aku Visuri; Niels van Berkel; Simo Johannes Hosio

doi:10.1109/MS.2021.3117684

(Re)using Crowdsourced Health Data: Perceptions of Data Contributors

Andy Alorwu, Aku Visuri, Niels van Berkel, Simo Johannes Hosio

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Abstract

Open data are often contributed by various governments and public sector actors. An increasingly popular way to collect large bespoke data sets is crowdsourcing. In this article, we explore crowdsourced open data as enablers of future software solutions.

Original language	English
Journal	IEEE Software
Volume	39
Issue number	1
Pages (from-to)	36-42
Number of pages	7
ISSN	0740-7459
DOIs	https://doi.org/10.1109/MS.2021.3117684
Publication status	Published - 2022

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title = "(Re)using Crowdsourced Health Data: Perceptions of Data Contributors",

abstract = "Open data are often contributed by various governments and public sector actors. An increasingly popular way to collect large bespoke data sets is crowdsourcing. In this article, we explore crowdsourced open data as enablers of future software solutions.",

author = "Andy Alorwu and Aku Visuri and {van Berkel}, Niels and Hosio, {Simo Johannes}",

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(Re)using Crowdsourced Health Data: Perceptions of Data Contributors

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