2021
DOI: 10.31235/osf.io/pv78g
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A framework for assessing the commons qualities of citizen science: comparative analysis of five digital platforms

Abstract: Citizen Science (CS) has greatly expanded as a collaborative model of knowledge co-production, often outside traditional scientific institutions. However, CS potential to enable new forms of collective governance of scientific research remains largely unexplored. At least, two confronting standpoints dominate the debate around CS: from mere crowdsourcing perspectives supported by debates over cost-effectiveness of massive data collection, to more participatory views, which understand CS as a means to democrati… Show more

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Cited by 3 publications
(2 citation statements)
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References 49 publications
(89 reference statements)
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“…The important question, within the academic socio-technical context, is how we will adapt to shared ownership as social norm and manage expectations for ongoing investments of labour in research infrastructures. These questions have also been raised in discussions of community owned infrastructures such as iNaturalist (Basman and Tchernavskij 2018;Morell et al 2021).…”
Section: Be Tolerantmentioning
confidence: 99%
“…The important question, within the academic socio-technical context, is how we will adapt to shared ownership as social norm and manage expectations for ongoing investments of labour in research infrastructures. These questions have also been raised in discussions of community owned infrastructures such as iNaturalist (Basman and Tchernavskij 2018;Morell et al 2021).…”
Section: Be Tolerantmentioning
confidence: 99%
“…While historically often used in fields such as ecology or astronomy, citizen science is increasingly used in health-related research too (Remmers et al, 2023). While content moderation questions in citizen science are mostly framed around quality and safety issues of citizen-collected data (Kapenekakis and Chorianopoulos, 2017;Schacher et al, 2023), how these online platforms are designed and governed are also actively studied (Kloppenborg et al, 2021;Morell et al, 2021).…”
Section: Introductionmentioning
confidence: 99%