{"id":"https://openalex.org/W2016678218","doi":"https://doi.org/10.1109/vast.2014.7042575","title":"VAST Challenge MC1: An off the shelf approach to messy data","display_name":"VAST Challenge MC1: An off the shelf approach to messy data","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2016678218","doi":"https://doi.org/10.1109/vast.2014.7042575","mag":"2016678218"},"language":"en","primary_location":{"id":"doi:10.1109/vast.2014.7042575","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vast.2014.7042575","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Conference on Visual Analytics Science and Technology (VAST)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/poster/VAST_Challenge_MC1_An_Off_the_Shelf_Approach_to_Messy_Data/1561409","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090747366","display_name":"Fintan McGee","orcid":"https://orcid.org/0000-0001-7398-2664"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fintan McGee","raw_affiliation_strings":["Centre de Recherche Public Gabriel Lippmann"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre de Recherche Public Gabriel Lippmann","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039539396","display_name":"Bertjan Broeksema","orcid":"https://orcid.org/0000-0001-7272-2684"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bertjan Broeksema","raw_affiliation_strings":["Centre de Recherche Public Gabriel Lippmann"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre de Recherche Public Gabriel Lippmann","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000232046","display_name":"Beno\u00eet Otjacques","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Benoit Otjacques","raw_affiliation_strings":["Centre de Recherche Public Gabriel Lippmann"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre de Recherche Public Gabriel Lippmann","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08827111,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"379","last_page":"380"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13398","display_name":"Data Analysis with R","score":0.9677000045776367,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9642999768257141,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/off-the-shelf","display_name":"Off the shelf","score":0.8143346905708313},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7501413226127625},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6820929050445557},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.6137975454330444},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.6051468253135681},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.5426093339920044},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4885657727718353},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.42522409558296204},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4209877848625183},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2974601984024048},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.2558969259262085},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.134270578622818},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07348290085792542}],"concepts":[{"id":"https://openalex.org/C2982819384","wikidata":"https://www.wikidata.org/wiki/Q7078910","display_name":"Off the shelf","level":2,"score":0.8143346905708313},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7501413226127625},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6820929050445557},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.6137975454330444},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.6051468253135681},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.5426093339920044},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4885657727718353},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.42522409558296204},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4209877848625183},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2974601984024048},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.2558969259262085},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.134270578622818},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07348290085792542},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/vast.2014.7042575","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vast.2014.7042575","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Conference on Visual Analytics Science and Technology (VAST)","raw_type":"proceedings-article"},{"id":"pmh:oai:figshare.com:article/1561409","is_oa":true,"landing_page_url":"https://figshare.com/articles/poster/VAST_Challenge_MC1_An_Off_the_Shelf_Approach_to_Messy_Data/1561409","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Image"},{"id":"doi:10.6084/m9.figshare.1561409.v1","is_oa":true,"landing_page_url":"https://doi.org/10.6084/m9.figshare.1561409.v1","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"graphic"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/1561409","is_oa":true,"landing_page_url":"https://figshare.com/articles/poster/VAST_Challenge_MC1_An_Off_the_Shelf_Approach_to_Messy_Data/1561409","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Image"},"sustainable_development_goals":[{"display_name":"Climate action","score":0.5,"id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2125910575","https://openalex.org/W2582743722","https://openalex.org/W6816811543"],"related_works":["https://openalex.org/W4225274103","https://openalex.org/W2013728941","https://openalex.org/W2154046714","https://openalex.org/W2923661510","https://openalex.org/W2579659702","https://openalex.org/W2189613078","https://openalex.org/W1574055964","https://openalex.org/W3003759491","https://openalex.org/W2547096368","https://openalex.org/W2542318691"],"abstract_inverted_index":{"We":[0,30],"describe":[1],"our":[2,35,46],"approach":[3,36],"to":[4,20],"the":[5,10,24,32],"VAST":[6],"challenge":[7],"using":[8],"off":[9],"shelf":[11],"software,":[12],"for":[13,41],"analysis":[14],"and":[15,37],"visualization.":[16],"This":[17],"allowed":[18],"us":[19],"gain":[21],"insight":[22],"into":[23],"data":[25],"within":[26],"a":[27],"short":[28],"time-frame.":[29],"discuss":[31],"merits":[33],"of":[34],"set":[38],"out":[39],"directions":[40],"future":[42],"research":[43],"based":[44],"on":[45],"experience.":[47]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}