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Auteur Gemma Davies |
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How reliable are citizen-derived scientific data? Assessing the quality of contrail observations made by the general public / Amy Fowler in Transactions in GIS, vol 17 n° 4 (August 2013)
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Titre : How reliable are citizen-derived scientific data? Assessing the quality of contrail observations made by the general public Type de document : Article/Communication Auteurs : Amy Fowler, Auteur ; J. Duncan Whyatt, Auteur ; Gemma Davies, Auteur ; Rebecca Ellis, Auteur Année de publication : 2013 Article en page(s) : pp 488 - 506 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] Angleterre
[Termes IGN] atmosphère terrestre
[Termes IGN] condensation
[Termes IGN] données localisées des bénévoles
[Termes IGN] données météorologiques
[Termes IGN] données multisources
[Termes IGN] fiabilité des données
[Termes IGN] grand public
[Termes IGN] science citoyenneRésumé : (Auteur) Citizen science projects encourage the general public to participate in scientific research. Participants can contribute large volumes of data over broad spatial and temporal frames; however, the challenge is to generate data of sufficient quality to be useable in scientific research. Most observations made by citizen-scientists can be independently verified by “experts”. However, verification is more problematic when the phenomena being recorded are short-lived. This article uses a GIS methodology to verify the quality of contrail observations made by the general public as part of the OPAL Climate Survey. We verify observations using datasets derived from a variety of different sources (experts, models and amateur enthusiasts) with different spatial and temporal properties which reflect the complex 3D nature of the atmosphere. Our results suggest that ~70% of citizen observations are plausible, based on favorable atmospheric conditions and the presence or absence of aircraft; a finding which is in keeping with other, more conventional citizen science projects. However, questions remain as to why the quality of the citizen-based observations was so high. Given the lack of supporting data on observers, it is impossible to determine whether the dataset was generated by the activities of many participants or a small but dedicated number of individual observers. Numéro de notice : A2013-468 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE/SOCIETE NUMERIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12034 Date de publication en ligne : 22/05/2013 En ligne : https://doi.org/10.1111/tgis.12034 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32606
in Transactions in GIS > vol 17 n° 4 (August 2013) . - pp 488 - 506[article]