{"id":"https://openalex.org/W2214534990","doi":"https://doi.org/10.1109/bigdata.2015.7363992","title":"Exploring the process of doing data science via an ethnographic study of a media advertising company","display_name":"Exploring the process of doing data science via an ethnographic study of a media advertising company","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2214534990","doi":"https://doi.org/10.1109/bigdata.2015.7363992","mag":"2214534990"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2015.7363992","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2015.7363992","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059644651","display_name":"Jeffrey Saltz","orcid":"https://orcid.org/0000-0002-8913-1095"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jeffrey S. Saltz","raw_affiliation_strings":["School of Information Studies, Syracuse University, Syracuse, NY, USA"],"affiliations":[{"raw_affiliation_string":"School of Information Studies, Syracuse University, Syracuse, NY, USA","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038222783","display_name":"Ivan Shamshurin","orcid":null},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ivan Shamshurin","raw_affiliation_strings":["School of Information Studies, Syracuse University, Syracuse, NY, USA"],"affiliations":[{"raw_affiliation_string":"School of Information Studies, Syracuse University, Syracuse, NY, USA","institution_ids":["https://openalex.org/I70983195"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5059644651"],"corresponding_institution_ids":["https://openalex.org/I70983195"],"apc_list":null,"apc_paid":null,"fwci":5.4384,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.95251814,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2098","last_page":"2105"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9933000206947327,"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":0.9801999926567078,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/timeline","display_name":"Timeline","score":0.8740628957748413},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6899387836456299},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.5944889783859253},{"id":"https://openalex.org/keywords/ethnography","display_name":"Ethnography","score":0.5286014080047607},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5172310471534729},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5046106576919556},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4838608503341675},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4142819941043854},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2682090997695923},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.23080968856811523}],"concepts":[{"id":"https://openalex.org/C4438859","wikidata":"https://www.wikidata.org/wiki/Q186117","display_name":"Timeline","level":2,"score":0.8740628957748413},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6899387836456299},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.5944889783859253},{"id":"https://openalex.org/C179454799","wikidata":"https://www.wikidata.org/wiki/Q132151","display_name":"Ethnography","level":2,"score":0.5286014080047607},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5172310471534729},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5046106576919556},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4838608503341675},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4142819941043854},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2682090997695923},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.23080968856811523},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2015.7363992","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2015.7363992","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1485916023","https://openalex.org/W1494137514","https://openalex.org/W1605927362","https://openalex.org/W2071478337","https://openalex.org/W2073275508","https://openalex.org/W2080731889","https://openalex.org/W2118136796","https://openalex.org/W2130204178","https://openalex.org/W2141975087","https://openalex.org/W2207131393","https://openalex.org/W4243033074","https://openalex.org/W6629518394","https://openalex.org/W6679182178"],"related_works":["https://openalex.org/W4322629366","https://openalex.org/W2808989540","https://openalex.org/W2397053934","https://openalex.org/W1039292361","https://openalex.org/W2731626691","https://openalex.org/W2551093110","https://openalex.org/W2148016376","https://openalex.org/W4237919137","https://openalex.org/W3184179822","https://openalex.org/W3095362084"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"the":[3,29,44,50,62,67,74],"results":[4],"of":[5],"an":[6],"ethnographic":[7],"study":[8],"focused":[9],"on":[10,61],"how":[11],"data":[12,46,76,87],"science":[13,47,77],"projects":[14,78],"were":[15],"conducted":[16],"within":[17,28,49],"a":[18,26],"global":[19],"media":[20],"advertising":[21],"company.":[22],"Observations,":[23],"via":[24],"embedding":[25],"researcher":[27],"team,":[30],"as":[31,33],"well":[32],"more":[34,100],"structured":[35],"interviews":[36],"and":[37,66,82,94],"surveys,":[38],"are":[39,52],"documented.":[40],"Recommendations":[41],"to":[42,103,106],"improve":[43],"current":[45],"methodology":[48,65],"company":[51],"also":[53,90],"discussed.":[54],"Overall,":[55],"there":[56],"had":[57],"been":[58],"little":[59],"focus":[60],"team's":[63],"process":[64,69],"suggested":[68],"improvements":[70],"would":[71],"result":[72],"in":[73],"company's":[75],"having":[79],"less":[80],"risk":[81],"shorter":[83],"timelines.":[84],"Other":[85],"big":[86],"teams":[88],"might":[89],"benefit":[91],"from":[92],"reviewing":[93],"refining":[95],"their":[96],"work":[97,101],"processes,":[98],"but":[99],"needs":[102],"be":[104],"done":[105],"validate":[107],"this":[108],"assumption.":[109]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":6}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}
