Mapping citizen science contributions to the UN sustainable development goals

16543 13 90671 2 262429 document 90671 Fraisl2020_Article_MappingCitizenScienceContribut.pdf application/pdf 025b7ad3734154256ac6774415c094f5 MD5 2042792 2020-07-03 07:24:15 https://pure.iiasa.ac.at/id/eprint/16543/1/Fraisl2020_Article_MappingCitizenScienceContribut.pdf 16543 1 1 application/pdf text en public cc_by_4

Fraisl2020_Article_MappingCitizenScienceContribut.pdf

published 90672 1 262436 document 90672 indexcodes.txt text/x-c++ 68c41a98426b7e9cc1406e7c51caec2e MD5 18737 2020-07-03 07:33:58 https://pure.iiasa.ac.at/id/eprint/16543/2/indexcodes.txt 16543 2 2 text/x-c++ other Generate index codes conversion from text to indexcodes en public

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/90671 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/90671 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/90671 archive 353 disk0/00/01/65/43 2020-07-03 07:28:00 2025-03-12 05:00:29 2020-07-03 07:28:00 article show 1 Fraisl D. 2123 0000-0001-7523-7967 Campbell J. See L. 8571 0000-0002-2665-7065 Wehn U. Wardlaw J. Gold M. Moorthy I. 2089 0000-0002-3664-3855 Arias R. Piera J. Oliver J. L. Masó J. Penker M. Fritz S. 8130 0000-0003-0420-8549 Mapping citizen science contributions to the UN sustainable development goals pub prog_esm The UN Sustainable Development Goals (SDGs) are a vision for achieving a sustainable future. Reliable, timely, comprehensive, and consistent data are critical for measuring progress towards, and ultimately achieving, the SDGs. Data from citizen science represent one new source of data that could be used for SDG reporting and monitoring. However, information is still lacking regarding the current and potential contributions of citizen science to the SDG indicator framework. Through a systematic review of the metadata and work plans of the 244 SDG indicators, as well as the identification of past and ongoing citizen science initiatives that could directly or indirectly provide data for these indicators, this paper presents an overview of where citizen science is already contributing and could contribute data to the SDG indicator framework. The results demonstrate that citizen science is “already contributing” to the monitoring of 5 SDG indicators, and that citizen science “could contribute” to 76 indicators, which, together, equates to around 33%. Our analysis also shows that the greatest inputs from citizen science to the SDG framework relate to SDG 15 Life on Land, SDG 11 Sustainable Cities and Communities, SDG 3 Good Health and Wellbeing, and SDG 6 Clean Water and Sanitation. Realizing the full potential of citizen science requires demonstrating its value in the global data ecosystem, building partnerships around citizen science data to accelerate SDG progress, and leveraging investments to enhance its use and impact. 2020-07-02 published Springer-Verlag 10.1007/s11625-020-00833-7 2612 276 211 98 public Sustainability Science 15 1735-1751 TRUE 1862-4065 Harnessing the power of crowdsourcing to improve land cover and land-use information (CROWDLAND, FP7 617754) An Ecosystem of Citizen Observatories for Environmental Monitoring (WeObserve, H2020 776740) FALSE yes info:eu-repo/grantAgreement/EC/FP7/617754/EU//CROWDLAND; info:eu-repo/grantAgreement/EC/H2020/776740/EU//WeObserve info:eu-repo/semantics/article info:eu-repo/semantics/openAccess