{"id":"https://openalex.org/W2070050337","doi":"https://doi.org/10.1109/bigdata.2013.6691670","title":"Bibliographic records as humanities big data","display_name":"Bibliographic records as humanities big data","publication_year":2013,"publication_date":"2013-10-01","ids":{"openalex":"https://openalex.org/W2070050337","doi":"https://doi.org/10.1109/bigdata.2013.6691670","mag":"2070050337"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2013.6691670","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2013.6691670","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on 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/A5019898208","display_name":"Andrew Prescott","orcid":"https://orcid.org/0000-0001-6474-1068"},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Andrew Prescott","raw_affiliation_strings":["Dept of Digital Humanities, King's College London, United Kingdom","Department of Digital Humanities, King\u2019s College London, London, UK"],"affiliations":[{"raw_affiliation_string":"Dept of Digital Humanities, King's College London, United Kingdom","institution_ids":["https://openalex.org/I183935753"]},{"raw_affiliation_string":"Department of Digital Humanities, King\u2019s College London, London, UK","institution_ids":["https://openalex.org/I183935753"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5019898208"],"corresponding_institution_ids":["https://openalex.org/I183935753"],"apc_list":null,"apc_paid":null,"fwci":0.8532,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.78568669,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"27","issue":null,"first_page":"55","last_page":"58"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9800999760627747,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9800999760627747,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"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/T11937","display_name":"Research Data Management Practices","score":0.977400004863739,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T14280","display_name":"Big Data Technologies and Applications","score":0.9445000290870667,"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/big-data","display_name":"Big data","score":0.715610146522522},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4901960492134094},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.48223695158958435},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4804620146751404},{"id":"https://openalex.org/keywords/library-science","display_name":"Library science","score":0.38866719603538513},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.3262607455253601},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.12923648953437805}],"concepts":[{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.715610146522522},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4901960492134094},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.48223695158958435},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4804620146751404},{"id":"https://openalex.org/C161191863","wikidata":"https://www.wikidata.org/wiki/Q199655","display_name":"Library science","level":1,"score":0.38866719603538513},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.3262607455253601},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.12923648953437805},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/bigdata.2013.6691670","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2013.6691670","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Big Data","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.gla.ac.uk:129382","is_oa":false,"landing_page_url":"http://eprints.gla.ac.uk/129382/","pdf_url":null,"source":{"id":"https://openalex.org/S4210235606","display_name":"ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam)","issn_l":"2622-8912","issn":["2622-8912","2622-8920"],"is_oa":false,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceedings"},{"id":"pmh:oai:kclpure.kcl.ac.uk:publications/07a1b337-042c-4f26-811b-8a387a49edcc","is_oa":false,"landing_page_url":"http://www.scopus.com/inward/record.url?scp=84893265519&partnerID=8YFLogxK","pdf_url":null,"source":{"id":"https://openalex.org/S4306400216","display_name":"Research Portal (King's College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I183935753","host_organization_name":"King's College London","host_organization_lineage":["https://openalex.org/I183935753"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Prescott , A 2013 , Bibliographic records as humanities big data . in Proceedings - 2013 IEEE International Conference on Big Data, Big Data 2013 . , 6691670 , Proceedings - 2013 IEEE International Conference on Big Data, Big Data 2013 , pp. 55-58 , 2013 IEEE International Conference on Big Data, Big Data 2013 , Santa Clara, CA , United States , 6/10/2013 . https://doi.org/10.1109/BigData.2013.6691670","raw_type":"contributionToPeriodical"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.8700000047683716}],"awards":[{"id":"https://openalex.org/G6615363943","display_name":null,"funder_award_id":"AH/L503551/1","funder_id":"https://openalex.org/F4320334609","funder_display_name":"Arts and Humanities Research Council"}],"funders":[{"id":"https://openalex.org/F4320334609","display_name":"Arts and Humanities Research Council","ror":"https://ror.org/0505m1554"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W54602832","https://openalex.org/W93672493","https://openalex.org/W634145332","https://openalex.org/W1591785387","https://openalex.org/W1969092665","https://openalex.org/W6603784911"],"related_works":["https://openalex.org/W4322629366","https://openalex.org/W2808989540","https://openalex.org/W2397053934","https://openalex.org/W1039292361","https://openalex.org/W2551093110","https://openalex.org/W2148016376","https://openalex.org/W4237919137","https://openalex.org/W3184179822","https://openalex.org/W3095362084","https://openalex.org/W3003361536"],"abstract_inverted_index":{"Most":[0],"discussion":[1],"hitherto":[2],"of":[3,36,58,94],"big":[4,38,46],"data":[5,47,105],"in":[6,112],"the":[7,22,44,59,98],"humanities":[8,37],"has":[9],"assumed":[10],"that":[11,85],"it":[12],"is":[13,53],"characterized":[14],"by":[15,29,49],"its":[16],"heterogeneous":[17],"nature.":[18],"This":[19],"paper":[20],"examines":[21],"extent":[23],"to":[24,43,69,73,102,109],"which":[25],"bibliographic":[26,66],"records":[27,67,87],"generated":[28,48],"libraries":[30],"represent":[31],"a":[32,78,91],"more":[33,40,79],"homogenous":[34,80],"form":[35,77],"data,":[39],"closely":[41],"related":[42],"observational":[45],"scientific":[50,114],"data.":[51],"It":[52],"suggested":[54],"from":[55],"an":[56],"examination":[57,83],"British":[60],"Library":[61],"catalogue":[62],"that,":[63],"while":[64],"superficially":[65],"appear":[68],"be":[70],"created":[71],"according":[72],"consistent":[74],"standards":[75],"and":[76],"dataset,":[81],"close":[82],"reveals":[84],"bibliographical":[86],"often":[88],"go":[89],"through":[90],"marked":[92],"process":[93],"historical":[95],"development.":[96],"However,":[97],"critical":[99],"methods":[100],"require":[101],"disaggregate":[103],"such":[104],"are":[106],"perhaps":[107],"analogous":[108],"those":[110],"used":[111],"some":[113],"disciplines.":[115]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}