{"id":"https://openalex.org/W2221278576","doi":"https://doi.org/10.1109/bigdata.2015.7363991","title":"Three critical matters in big data projects for e-science: Different user groups, the mutually constitutive perspective, and virtual organizational capacity","display_name":"Three critical matters in big data projects for e-science: Different user groups, the mutually constitutive perspective, and virtual organizational capacity","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2221278576","doi":"https://doi.org/10.1109/bigdata.2015.7363991","mag":"2221278576"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2015.7363991","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2015.7363991","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/A5083093074","display_name":"Kerk F. Kee","orcid":"https://orcid.org/0000-0002-0543-5009"},"institutions":[{"id":"https://openalex.org/I185071736","display_name":"Chapman University","ror":"https://ror.org/0452jzg20","country_code":"US","type":"education","lineage":["https://openalex.org/I185071736"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kerk F. Kee","raw_affiliation_strings":["Department of Communication Studies, Chapman University, Orange, California, USA"],"affiliations":[{"raw_affiliation_string":"Department of Communication Studies, Chapman University, Orange, California, USA","institution_ids":["https://openalex.org/I185071736"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5083093074"],"corresponding_institution_ids":["https://openalex.org/I185071736"],"apc_list":null,"apc_paid":null,"fwci":0.533,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.75131775,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"42","issue":null,"first_page":"2091","last_page":"2097"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.9894000291824341,"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":0.9894000291824341,"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/T11986","display_name":"Scientific Computing and Data Management","score":0.9876000285148621,"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"}},{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9538000226020813,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.7660385370254517},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.49698737263679504},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4460848867893219},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.39583712816238403},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.08189359307289124},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.08048424124717712}],"concepts":[{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.7660385370254517},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.49698737263679504},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4460848867893219},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.39583712816238403},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.08189359307289124},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.08048424124717712}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2015.7363991","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2015.7363991","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":[{"score":0.5299999713897705,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W54461382","https://openalex.org/W190177884","https://openalex.org/W1501617609","https://openalex.org/W2039688578","https://openalex.org/W2069249310","https://openalex.org/W2075953091","https://openalex.org/W2077568681","https://openalex.org/W2137598357","https://openalex.org/W2207131393","https://openalex.org/W3123256637","https://openalex.org/W6602257105","https://openalex.org/W6922374129"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W4233347783","https://openalex.org/W2910064364","https://openalex.org/W4255224757"],"abstract_inverted_index":{"This":[0],"paper":[1],"discusses":[2],"three":[3,31],"critical":[4],"matters":[5],"in":[6,12,96],"big":[7,90],"data":[8,91],"projects":[9],"for":[10,42],"e-science,":[11],"which":[13],"computer":[14],"simulations,":[15],"computational":[16],"visualizations,":[17],"and":[18,37,53,60,82],"mathematical":[19],"modeling":[20],"are":[21,35,62],"practiced":[22],"as":[23,56,58,67,85],"powerful":[24],"methods":[25],"to":[26,47,88],"advance":[27],"science.":[28],"More":[29],"specifically,":[30],"different":[32],"user":[33],"groups":[34],"identified,":[36],"their":[38,48],"unique":[39],"situations":[40],"elaborated":[41],"developing":[43],"project":[44,75],"methodologies":[45,76],"sensitive":[46],"differences.":[49],"Furthermore,":[50],"`technology":[51,59],"development":[52],"technology":[54],"use,'":[55],"well":[57],"organizing'":[61],"two":[63],"parallel":[64],"processes":[65],"argued":[66],"mutually":[68],"constitutive":[69],"within":[70],"the":[71],"individual":[72],"pairs.":[73],"Finally,":[74],"should":[77],"include":[78],"organizational":[79],"capacity":[80,83],"assessment":[81],"building":[84],"strategic":[86],"components":[87],"increase":[89],"projects'":[92],"likelihood":[93],"of":[94],"success":[95],"producing":[97],"intended":[98],"outcomes.":[99]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
