Mapping citizen science contributions to the UN sustainable development goals

Fraisl, D ; Campbell, J ; See, L ; Wehn, U ; Wardlaw, J ; Gold, M ; Moorthy, I ; Arias, R ; Piera, J ; Oliver, JL ; Maso, J ; Penker, M ; Fritz, S

Resumen: 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.

Idioma: Inglés

DOI: 10.1007/s11625-020-00833-7

Año: 2020

Publicado en: Sustainability Science 15 (2020), 1735–1751
ISSN: 1862-4065

Factor impacto JCR: 6.367 (2020)

Categ. JCR: ENVIRONMENTAL SCIENCES rank: 39 / 273 = 0.143 (2020) - Q1 - T1
Categ. JCR: GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY rank: 14 / 44 = 0.318 (2020) - Q2 - T1

Factor impacto SCIMAGO: 1.659 - Ecology (Q1) - Geography, Planning and Development (Q1) - Global and Planetary Change (Q1) - Sociology and Political Science (Q1) - Management, Monitoring, Policy and Law (Q1) - Nature and Landscape Conservation (Q1) - Health (social science) (Q1)

Financiación: info:eu-repo/grantAgreement/EC/FP7/617754/EU/Harnessing the power of crowdsourcing to improve land cover and land-use information/CrowdLand
Financiación: info:eu-repo/grantAgreement/EC/H2020/776740/EU/An Ecosystem of Citizen Observatories for Environmental Monitoring/WeObserve

Tipo y forma: Artículo (Versión definitiva)