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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/80848 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/80848 http://eprints.org/relation/isIndexCodesVersionOf https://pure.iiasa.ac.at/id/document/80848 archive 353 disk0/00/01/51/05 2018-02-07 12:11:15 2024-01-04 14:00:10 2018-02-07 12:11:15 conference_item show 1 Fritz S. 8130 0000-0003-0420-8549 Fraisl D. 2123 0000-0001-7523-7967 Citizen science data in peer-reviewed publications: The Geo-Wiki experience pub prog_esm citizen science, crowdsourcing; land cover; land use; peer reviewed publications; data quality; Geo-Wiki; FotoQuest The role of citizen science in research is expanding, which often raises concerns about data quality. Recently, the Geo-Wiki team at the International Institute for Applied Systems Analysis (IIASA) has implemented two citizen science projects (e.g. FotoQuest Austria, Cropland Validation) focused on improving land use and land cover monitoring. In these projects, the team designed specific measures to enhance the quality of data provided by volunteers and in turn these citizen-driven results have led to peer-reviewed publications in key journals (e.g. Remote Sensing, Nature’s Scientific Data). As such, in this paper, we describe our methodology to improve data quality in citizen science projects and provide a series of recommendations on project design and implementation. 2018-02 published 98 2612 public paper 4th Austrian Citizen Science Conference Salzburg, Austria 1-3 February 2018 conference FALSE Harnessing the power of crowdsourcing to improve land cover and land-use information (CROWDLAND, FP7 617754) Geo-Wiki FALSE yes info:eu-repo/grantAgreement/EC/FP7/617754/EU/Harnessing the power of crowdsourcing to improve land cover and land-use information/CROWDLAND info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/openAccess