Mapping citizen science contributions to the UN sustainable development goals

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...

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Veröffentlicht in:Sustainability science Jg. 15; H. 6; S. 1735 - 1751
Hauptverfasser: Fraisl, Dilek, Campbell, Jillian, See, Linda, Wehn, Uta, Wardlaw, Jessica, Gold, Margaret, Moorthy, Inian, Arias, Rosa, Piera, Jaume, Oliver, Jessica L., Masó, Joan, Penker, Marianne, Fritz, Steffen
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Tokyo Springer Japan 01.11.2020
Springer Nature B.V
Schlagworte:
citizen science
Climate Change Management and Policy
Earth and Environmental Science
ecosystems
Environment
Environmental Economics
Environmental Management
Indicators
Landscape Ecology
metadata
Monitoring
Original Article
Public Health
Sanitation
Science
Sustainability
sustainability science and engineering
Sustainability Science Innovation and Capacity Development
Sustainable Development
systematic review
Crowdsourcing
Tier classification for SDG indicators
Citizen science
Community-based monitoring
Sustainable Development Goals (SDGs)
SDG indicators
ISSN:1862-4065, 1862-4057
Online-Zugang:Volltext
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Zusammenfassung: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.
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ISSN:1862-4065
1862-4057
DOI:10.1007/s11625-020-00833-7