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• {"link"=>{"url"=>"http://www.citeulike.org/user/bgood/article/12559727"}, "post_time"=>"2013-08-13 23:21:12", "tag"=>["crowdsourcing", "quality"], "linkout"=>{"type"=>"DOI", "url"=>"http://dx.doi.org/10.1371/journal.pone.0069958"}, "username"=>"bgood", "article_id"=>"12559727"}

Mendeley | Further Information

{"title"=>"Comparing the Quality of Crowdsourced Data Contributed by Expert and Non-Experts", "type"=>"journal", "authors"=>[{"first_name"=>"Linda", "last_name"=>"See", "scopus_author_id"=>"7006538249"}, {"first_name"=>"Alexis", "last_name"=>"Comber", "scopus_author_id"=>"6603130292"}, {"first_name"=>"Carl", "last_name"=>"Salk", "scopus_author_id"=>"10042581400"}, {"first_name"=>"Steffen", "last_name"=>"Fritz", "scopus_author_id"=>"7102365239"}, {"first_name"=>"Marijn", "last_name"=>"van der Velde", "scopus_author_id"=>"12759687800"}, {"first_name"=>"Christoph", "last_name"=>"Perger", "scopus_author_id"=>"37040959900"}, {"first_name"=>"Christian", "last_name"=>"Schill", "scopus_author_id"=>"8292732600"}, {"first_name"=>"Ian", "last_name"=>"McCallum", "scopus_author_id"=>"55170005800"}, {"first_name"=>"Florian", "last_name"=>"Kraxner", "scopus_author_id"=>"7801416246"}, {"first_name"=>"Michael", "last_name"=>"Obersteiner", "scopus_author_id"=>"6603640566"}], "year"=>2013, "source"=>"PLoS ONE", "identifiers"=>{"pui"=>"369507643", "sgr"=>"84881170121", "pmid"=>"23936126", "scopus"=>"2-s2.0-84881170121", "isbn"=>"1932-6203", "doi"=>"10.1371/journal.pone.0069958", "issn"=>"19326203"}, "id"=>"4df7c1f8-4e3b-31d7-a52e-e8e8cedfce3d", "abstract"=>"There is currently a lack of in-situ environmental data for the calibration and validation of remotely sensed products and for the development and verification of models. Crowdsourcing is increasingly being seen as one potentially powerful way of increasing the supply of in-situ data but there are a number of concerns over the subsequent use of the data, in particular over data quality. This paper examined crowdsourced data from the Geo-Wiki crowdsourcing tool for land cover validation to determine whether there were significant differences in quality between the answers provided by experts and non-experts in the domain of remote sensing and therefore the extent to which crowdsourced data describing human impact and land cover can be used in further scientific research. The results showed that there was little difference between experts and non-experts in identifying human impact although results varied by land cover while experts were better than non-experts in identifying the land cover type. This suggests the need to create training materials with more examples in those areas where difficulties in identification were encountered, and to offer some method for contributors to reflect on the information they contribute, perhaps by feeding back the evaluations of their contributed data or by making additional training materials available. Accuracies were also found to be higher when the volunteers were more consistent in their responses at a given location and when they indicated higher confidence, which suggests that these additional pieces of information could be used in the development of robust measures of quality in the future.", "link"=>"http://www.mendeley.com/research/comparing-quality-crowdsourced-data-contributed-expert-nonexperts", "reader_count"=>173, "reader_count_by_academic_status"=>{"Unspecified"=>4, "Professor > Associate Professor"=>7, "Librarian"=>2, "Researcher"=>33, "Student > Doctoral Student"=>6, "Student > Ph. D. Student"=>45, "Student > Postgraduate"=>9, "Student > Master"=>35, "Other"=>14, "Student > Bachelor"=>10, "Lecturer"=>5, "Professor"=>3}, "reader_count_by_user_role"=>{"Unspecified"=>4, "Professor > Associate Professor"=>7, "Librarian"=>2, "Researcher"=>33, "Student > Doctoral Student"=>6, "Student > Ph. D. Student"=>45, "Student > Postgraduate"=>9, "Student > Master"=>35, "Other"=>14, "Student > Bachelor"=>10, "Lecturer"=>5, "Professor"=>3}, "reader_count_by_subject_area"=>{"Unspecified"=>10, "Agricultural and Biological Sciences"=>15, "Arts and Humanities"=>3, "Philosophy"=>1, "Business, Management and Accounting"=>2, "Computer Science"=>41, "Earth and Planetary Sciences"=>26, "Economics, Econometrics and Finance"=>1, "Engineering"=>10, "Environmental Science"=>29, "Mathematics"=>2, "Medicine and Dentistry"=>7, "Psychology"=>2, "Social Sciences"=>24}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>7}, "Social Sciences"=>{"Social Sciences"=>24}, "Psychology"=>{"Psychology"=>2}, "Mathematics"=>{"Mathematics"=>2}, "Unspecified"=>{"Unspecified"=>10}, "Environmental Science"=>{"Environmental Science"=>29}, "Arts and Humanities"=>{"Arts and Humanities"=>3}, "Engineering"=>{"Engineering"=>10}, "Earth and Planetary Sciences"=>{"Earth and Planetary Sciences"=>26}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>15}, "Computer Science"=>{"Computer Science"=>41}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>2}, "Philosophy"=>{"Philosophy"=>1}}, "reader_count_by_country"=>{"United States"=>2, "Japan"=>1, "Philippines"=>1, "Ireland"=>1, "China"=>1, "Brazil"=>3, "Serbia and Montenegro"=>2, "United Kingdom"=>2, "France"=>1, "Portugal"=>1, "Germany"=>5, "Spain"=>1}, "group_count"=>14}

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• {"type"=>"COMMENT", "annotationUri"=>"info:doi/10.1371/annotation/fd8a2501-f5bc-45c1-9e39-619bc31ebecc", "title"=>"Media coverage of this article", "body"=>"The following article represents some of the media coverage that has occurred for this paper:\n\nPublication: IIASA press release \nTitle: “Citizen scientists rival experts in analyzing land-cover data - 2013 - IIASA”\nhttp://www.iiasa.ac.at/web/home/about/news/PLOS_ONE__Citizen_scientists_rival_experts_in_analyz.en.html\n\nIf you see any additional coverage of this paper in the press or blogosphere, please reply to this thread and add the link to the article. \n", "isRemoved"=>false, "created"=>"2013-08-09T18:49:03Z", "lastModified"=>"2013-08-09T18:49:03Z", "creator"=>{"userId"=>"80539"}, "highlightedText"=>"", "competingInterestStatement"=>{"creatorWasPrompted"=>true, "hasCompetingInterests"=>true, "body"=>"PLOS ONE Staff"}, "parentArticle"=>{"doi"=>"info:doi/10.1371/journal.pone.0069958", "state"=>"published", "journals"=>{"PLoSONE"=>{"journalKey"=>"PLoSONE", "eIssn"=>"1932-6203", "title"=>"PLOS ONE"}}}, "replyTreeSize"=>1, "mostRecentActivity"=>"2013-08-23T18:00:26Z", "replies"=>[{"type"=>"REPLY", "parentID"=>70127, "annotationUri"=>"info:doi/10.1371/reply/a0ce3ca7-0d70-4292-ae25-f4301d4d1c7c", "title"=>" Media coverage of this article", "body"=>"The following article represents some of the media coverage that has occurred for this paper:\n\nPublication: io9 \nTitle: “How do \"Citizen Scientists\" stack up against the experts?”\nhttp://io9.com/how-do-citizen-scientists-stack-up-against-the-expert-1085597896\n\nIf you see any additional coverage of this paper in the press or blogosphere, please reply to this thread and add the link to the article. \n", "isRemoved"=>false, "created"=>"2013-08-23T18:00:26Z", "lastModified"=>"2013-08-23T18:00:26Z", "creator"=>{"userId"=>"80539"}, "highlightedText"=>"", "competingInterestStatement"=>{"creatorWasPrompted"=>true, "hasCompetingInterests"=>true, "body"=>"PLOS ONE Staff"}, "parentArticle"=>{"doi"=>"info:doi/10.1371/journal.pone.0069958", "state"=>"published", "journals"=>{"PLoSONE"=>{"journalKey"=>"PLoSONE", "eIssn"=>"1932-6203", "title"=>"PLOS ONE"}}}, "replyTreeSize"=>0, "mostRecentActivity"=>"2013-08-23T18:00:26Z", "replies"=>[]}]}

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• {"id"=>"362703271179202561", "text"=>"Citizen scientists rival experts in analyzing land-cover data http://t.co/HnTllzJEnA via @physorg_com http://t.co/JzdDD4A7e6", "created_at"=>"2013-07-31T22:36:13Z", "user"=>"PLOSONE", "user_name"=>"PLOS ONE", "user_profile_image"=>"http://a0.twimg.com/profile_images/2429958559/mzjl6as5u2m09r2erof6_normal.jpeg"}
• {"id"=>"362704628288593920", "text"=>"RT @PLOSONE: Citizen scientists rival experts in analyzing land-cover data http://t.co/HnTllzJEnA via @physorg_com http://t.co/JzdDD4A7e6", "created_at"=>"2013-07-31T22:41:36Z", "user"=>"Libby_Ross", "user_name"=>"Elizabeth Ross", "user_profile_image"=>"http://a0.twimg.com/profile_images/2306880802/pb99g6mq31k7lq4d0jky_normal.jpeg"}
• {"id"=>"362717418868977664", "text"=>"RT @PLOSONE: Citizen scientists rival experts in analyzing land-cover data http://t.co/HnTllzJEnA via @physorg_com http://t.co/JzdDD4A7e6", "created_at"=>"2013-07-31T23:32:26Z", "user"=>"SimonLLewis", "user_name"=>"Simon Lewis", "user_profile_image"=>"http://a0.twimg.com/profile_images/1502238482/slewis_hands_normal.jpg"}
• {"id"=>"362741876736012289", "text"=>"RT @PLOSONE: Citizen scientists rival experts in analyzing land-cover data http://t.co/1IgDVySXIa via @physorg_com http://t.co/KugJhAb18z", "created_at"=>"2013-08-01T01:09:37Z", "user"=>"globalyzer", "user_name"=>"GLOBE Project", "user_profile_image"=>"http://a0.twimg.com/profile_images/1571050797/globe_thumb_v2_normal.jpg"}
• {"id"=>"362762901855428608", "text"=>"RT @PLOSONE: Citizen scientists rival experts in analyzing land-cover data http://t.co/HnTllzJEnA via @physorg_com http://t.co/JzdDD4A7e6", "created_at"=>"2013-08-01T02:33:10Z", "user"=>"Kirash_ma", "user_name"=>"Kiragu Mwangi", "user_profile_image"=>"http://a0.twimg.com/profile_images/3055181763/af22d5064cd9753abeaab296153cbff9_normal.jpeg"}
• {"id"=>"362811996246663168", "text"=>"RT @PLOSONE: Citizen scientists rival experts in analyzing land-cover data http://t.co/HnTllzJEnA via @physorg_com http://t.co/JzdDD4A7e6", "created_at"=>"2013-08-01T05:48:15Z", "user"=>"leenybum", "user_name"=>"Eileen Wall", "user_profile_image"=>"http://a0.twimg.com/profile_images/3489227060/2518b23d775d012196143406a4d55647_normal.jpeg"}
• {"id"=>"362822333842468865", "text"=>"http://t.co/E6DK9rMLyH new: See et al. Comparing the Quality of Crowdsourced Data Contributed by Expert and Non-Experts. HT A Revkin", "created_at"=>"2013-08-01T06:29:19Z", "user"=>"rrichard09", "user_name"=>"RC Richards", "user_profile_image"=>"http://a0.twimg.com/profile_images/289522735/guilloche_p-960_normal.gif"}
• {"id"=>"362858249256574976", "text"=>"Interesting article on accuracy of citizen scientists in mapping: http://t.co/WstRZjErKl", "created_at"=>"2013-08-01T08:52:02Z", "user"=>"BorealNL", "user_name"=>"NL Boreal", "user_profile_image"=>"http://a0.twimg.com/profile_images/378800000168268022/34f5c04c00c4c28d5d1ddf0015764251_normal.jpeg"}
• {"id"=>"362928288278118401", "text"=>"research on crowdsourced geo: \"little difference between experts and non-experts in identifying human impact...\" http://t.co/kAEFoUPlnL", "created_at"=>"2013-08-01T13:30:21Z", "user"=>"adenas", "user_name"=>"Adena Schutzberg", "user_profile_image"=>"http://a0.twimg.com/profile_images/56508728/SCHUTZBERG-SMALL_FF_normal.png"}
• {"id"=>"362963571962945536", "text"=>"Citizen scientists rival experts in analyzing land-cover data, says Int Institute for Applied Systems Analysis #IIASA http://t.co/jfqChOfzUc", "created_at"=>"2013-08-01T15:50:33Z", "user"=>"lggreenemeier", "user_name"=>"Larry Greenemeier", "user_profile_image"=>"http://a0.twimg.com/profile_images/68147216/Larry_NY_05_normal.jpg"}
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• {"id"=>"367306122660556800", "text"=>"Data quality from #CitizenScience volunteers compares well with data quality from experts http://t.co/HkZF5gCS39 @PLOS", "created_at"=>"2013-08-13T15:26:18Z", "user"=>"Kath_Math", "user_name"=>"Katherine Mathieson", "user_profile_image"=>"http://a0.twimg.com/profile_images/2189372693/Pic_of_Katherine_normal.jpg"}
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• {"id"=>"367312622531526656", "text"=>"RT @Kath_Math: Data quality from #CitizenScience volunteers compares well with data quality from experts http://t.co/HkZF5gCS39 @PLOS", "created_at"=>"2013-08-13T15:52:08Z", "user"=>"OPALnature", "user_name"=>"OPAL Explore Nature", "user_profile_image"=>"http://a0.twimg.com/profile_images/378800000053117377/46c0e5161a1741d38fa25b66ede8424c_normal.jpeg"}
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• {"id"=>"368049010264637440", "text"=>"RT @Kath_Math: Data quality from #CitizenScience volunteers compares well with data quality from experts http://t.co/HkZF5gCS39 @PLOS", "created_at"=>"2013-08-15T16:38:16Z", "user"=>"DryasResearch", "user_name"=>"Dryas Research Ltd.", "user_profile_image"=>"http://a0.twimg.com/profile_images/1703310112/logo-copy-twitter_normal.png"}
• {"id"=>"369377526323216384", "text"=>"RT @Kath_Math: Data quality from #CitizenScience volunteers compares well with data quality from experts http://t.co/HkZF5gCS39 @PLOS", "created_at"=>"2013-08-19T08:37:19Z", "user"=>"SOCIENTIZE", "user_name"=>"SOCIENTIZE Project", "user_profile_image"=>"http://a0.twimg.com/profile_images/3286505094/9125f7e8782c5e8e0d82a47ad857053a_normal.png"}
• {"id"=>"369918117419302912", "text"=>"Pour @DidierLaval et @Jean_no : citizen scientists et crowdsourced science. http://t.co/xJ12Qu0R54", "created_at"=>"2013-08-20T20:25:26Z", "user"=>"e_mln_e", "user_name"=>"Emeline Brulé", "user_profile_image"=>"http://a0.twimg.com/profile_images/378800000259903855/9241f10c8aa57955f2a84ccca33839dc_normal.jpeg"}
• {"id"=>"369921054040260610", "text"=>"\"Comparing the Quality of Crowdsourced Data Contributed by Expert and Non-Experts\" http://t.co/dCCrquTg4r via Io9 http://t.co/MZTzhYG6ep", "created_at"=>"2013-08-20T20:37:06Z", "user"=>"GISDoctor", "user_name"=>"Ben Spaulding", "user_profile_image"=>"http://a0.twimg.com/profile_images/1765330520/pic_normal.jpg"}
• {"id"=>"370749915527274496", "text"=>"A really neat study - makes me think big data analysis is possible by crowd-sourcing! http://t.co/8ESFGmkm4P article: http://t.co/5yMITwSCqa", "created_at"=>"2013-08-23T03:30:42Z", "user"=>"brianmagi", "user_name"=>"Brian Magi", "user_profile_image"=>"http://a0.twimg.com/profile_images/3560565349/c021723c49088ac44817b13634ab6dc9_normal.jpeg"}
• {"id"=>"401881186194456576", "text"=>"Cropland Capture game brings citizen science to global food research http://t.co/hdUwh2TmTu On @PLOSONE: http://t.co/XniQFOyuXL", "created_at"=>"2013-11-17T01:15:16Z", "user"=>"LearningNerd", "user_name"=>"Liz Krane", "user_profile_image"=>"http://pbs.twimg.com/profile_images/1898953114/libraryselfy_normal.jpg"}
• {"id"=>"712023757985083392", "text"=>"PLOS ONE: Comparing the Quality of Crowdsourced Data Contributed by Expert and Non-Experts https://t.co/91VVC9WmLI", "created_at"=>"2016-03-21T21:11:07Z", "user"=>"orovellotti", "user_name"=>"orovellotti", "user_profile_image"=>"http://pbs.twimg.com/profile_images/1059027365/P1010840small_normal.jpg"}

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Figshare

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• {"files"=>["https://ndownloader.figshare.com/files/1138559"], "description"=>"<p>1 =  Tree cover; 2 =  Shrub cover; 3 =  Herbaceous vegetation/Grassland; 4 =  Cultivated and managed; 5 =  Mosaic of cultivated and managed/natural vegetation.</p>", "links"=>[], "tags"=>["geoinformatics", "Remote sensing imagery", "Environmental sciences", "Environmental geography", "geography", "Cartography", "gis", "Physical geography", "biosphere", "Geosystems", "accuracies", "types", "subsets"], "article_id"=>760925, "categories"=>["Information And Computing Sciences", "Sociology", "Earth and Environmental Sciences"], "users"=>["Linda See", "Alexis Comber", "Carl Salk", "Steffen Fritz", "Marijn van der Velde", "Christoph Perger", "Christian Schill", "Ian McCallum", "Florian Kraxner", "Michael Obersteiner"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0069958.t010", "stats"=>{"downloads"=>0, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_User_8217_s_and_producer_8217_s_accuracies_for_the_five_main_land_cover_types_and_for_different_subsets_of_the_data_including_confidence_and_expertise_/760925", "title"=>"User’s and producer’s accuracies for the five main land cover types and for different subsets of the data including confidence and expertise.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-07-31 02:23:11"}
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• {"files"=>["https://ndownloader.figshare.com/files/1138558"], "description"=>"<p>Logistic regression analysis for the model <i>Logit</i> (<i>P_i</i>)<i> = a+bX_i</i> where <i>X_i</i> is the log of the response time and <i>P_i</i> is the probability that the land cover is correctly identified.</p>", "links"=>[], "tags"=>["geoinformatics", "Remote sensing imagery", "Environmental sciences", "Environmental geography", "geography", "Cartography", "gis", "Physical geography", "biosphere", "Geosystems", "regression", "probability"], "article_id"=>760924, "categories"=>["Information And Computing Sciences", "Sociology", "Earth and Environmental Sciences"], "users"=>["Linda See", "Alexis Comber", "Carl Salk", "Steffen Fritz", "Marijn van der Velde", "Christoph Perger", "Christian Schill", "Ian McCallum", "Florian Kraxner", "Michael Obersteiner"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0069958.t012", "stats"=>{"downloads"=>1, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Logistic_regression_analysis_for_the_model_Logit_P_i__a_bX_i_where_X_i_is_the_log_of_the_response_time_and_P_i_is_the_probability_that_the_land_cover_is_correctly_identified_/760924", "title"=>"Logistic regression analysis for the model <i>Logit</i> (<i>P_i</i>)<i> = a+bX_i</i> where <i>X_i</i> is the log of the response time and <i>P_i</i> is the probability that the land cover is correctly identified.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-07-31 02:23:11"}
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Relative Metric

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F1000Prime