{"id":"https://openalex.org/W2553014740","doi":"https://doi.org/10.1186/s40537-016-0057-0","title":"Understanding big data themes from scientific biomedical literature through topic modeling","display_name":"Understanding big data themes from scientific biomedical literature through topic modeling","publication_year":2016,"publication_date":"2016-11-15","ids":{"openalex":"https://openalex.org/W2553014740","doi":"https://doi.org/10.1186/s40537-016-0057-0","mag":"2553014740"},"language":"en","primary_location":{"id":"doi:10.1186/s40537-016-0057-0","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-016-0057-0","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-016-0057-0","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-016-0057-0","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015252066","display_name":"Allard J. van Altena","orcid":"https://orcid.org/0000-0002-8148-4654"},"institutions":[{"id":"https://openalex.org/I2802928900","display_name":"Academic Medical Center","ror":"https://ror.org/03t4gr691","country_code":"NL","type":"funder","lineage":["https://openalex.org/I2802928900","https://openalex.org/I4210151833"]},{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Allard J. van Altena","raw_affiliation_strings":["Department of Epidemiology, Biostatistics and Bioinformatics, Academic Medical Center of the University of Amsterdam, 1105 AZ, Amsterdam, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Department of Epidemiology, Biostatistics and Bioinformatics, Academic Medical Center of the University of Amsterdam, 1105 AZ, Amsterdam, The Netherlands","institution_ids":["https://openalex.org/I887064364","https://openalex.org/I2802928900"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027561354","display_name":"Perry D. Moerland","orcid":"https://orcid.org/0000-0002-2357-3659"},"institutions":[{"id":"https://openalex.org/I2802928900","display_name":"Academic Medical Center","ror":"https://ror.org/03t4gr691","country_code":"NL","type":"funder","lineage":["https://openalex.org/I2802928900","https://openalex.org/I4210151833"]},{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Perry D. Moerland","raw_affiliation_strings":["Department of Epidemiology, Biostatistics and Bioinformatics, Academic Medical Center of the University of Amsterdam, 1105 AZ, Amsterdam, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Department of Epidemiology, Biostatistics and Bioinformatics, Academic Medical Center of the University of Amsterdam, 1105 AZ, Amsterdam, The Netherlands","institution_ids":["https://openalex.org/I887064364","https://openalex.org/I2802928900"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051056050","display_name":"Aeilko H. Zwinderman","orcid":"https://orcid.org/0000-0003-0361-3139"},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]},{"id":"https://openalex.org/I2802928900","display_name":"Academic Medical Center","ror":"https://ror.org/03t4gr691","country_code":"NL","type":"funder","lineage":["https://openalex.org/I2802928900","https://openalex.org/I4210151833"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Aeilko H. Zwinderman","raw_affiliation_strings":["Department of Epidemiology, Biostatistics and Bioinformatics, Academic Medical Center of the University of Amsterdam, 1105 AZ, Amsterdam, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Department of Epidemiology, Biostatistics and Bioinformatics, Academic Medical Center of the University of Amsterdam, 1105 AZ, Amsterdam, The Netherlands","institution_ids":["https://openalex.org/I887064364","https://openalex.org/I2802928900"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024736991","display_name":"S\u00edlvia D. Olabarriaga","orcid":"https://orcid.org/0000-0002-5935-4482"},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]},{"id":"https://openalex.org/I2802928900","display_name":"Academic Medical Center","ror":"https://ror.org/03t4gr691","country_code":"NL","type":"funder","lineage":["https://openalex.org/I2802928900","https://openalex.org/I4210151833"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"S\u00edlvia D. Olabarriaga","raw_affiliation_strings":["Department of Epidemiology, Biostatistics and Bioinformatics, Academic Medical Center of the University of Amsterdam, 1105 AZ, Amsterdam, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Department of Epidemiology, Biostatistics and Bioinformatics, Academic Medical Center of the University of Amsterdam, 1105 AZ, Amsterdam, The Netherlands","institution_ids":["https://openalex.org/I887064364","https://openalex.org/I2802928900"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5015252066"],"corresponding_institution_ids":["https://openalex.org/I2802928900","https://openalex.org/I887064364"],"apc_list":{"value":1060,"currency":"GBP","value_usd":1300},"apc_paid":{"value":1060,"currency":"GBP","value_usd":1300},"fwci":5.5913,"has_fulltext":true,"cited_by_count":39,"citation_normalized_percentile":{"value":0.95797385,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"3","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9901000261306763,"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":0.9901000261306763,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9886999726295471,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T14280","display_name":"Big Data Technologies and Applications","score":0.9855999946594238,"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":0.8939064741134644},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6770074367523193},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.6459283828735352},{"id":"https://openalex.org/keywords/connotation","display_name":"Connotation","score":0.5638822317123413},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5103923678398132},{"id":"https://openalex.org/keywords/subject","display_name":"Subject (documents)","score":0.5089831352233887},{"id":"https://openalex.org/keywords/meaning","display_name":"Meaning (existential)","score":0.4709922671318054},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.4575277268886566},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.4404483437538147},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4333275258541107},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.42236316204071045},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4170222282409668},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3825671076774597},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.22023531794548035},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2154630720615387},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.18528148531913757},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1827506124973297},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13039061427116394},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.10071620345115662}],"concepts":[{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.8939064741134644},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6770074367523193},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.6459283828735352},{"id":"https://openalex.org/C2778120531","wikidata":"https://www.wikidata.org/wiki/Q661062","display_name":"Connotation","level":2,"score":0.5638822317123413},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5103923678398132},{"id":"https://openalex.org/C2777855551","wikidata":"https://www.wikidata.org/wiki/Q12310021","display_name":"Subject (documents)","level":2,"score":0.5089831352233887},{"id":"https://openalex.org/C2780876879","wikidata":"https://www.wikidata.org/wiki/Q3054749","display_name":"Meaning (existential)","level":2,"score":0.4709922671318054},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.4575277268886566},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.4404483437538147},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4333275258541107},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.42236316204071045},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4170222282409668},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3825671076774597},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.22023531794548035},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2154630720615387},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.18528148531913757},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1827506124973297},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13039061427116394},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.10071620345115662},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1186/s40537-016-0057-0","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-016-0057-0","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-016-0057-0","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},{"id":"pmh:oai:pure.amsterdamumc.nl:openaire/ca26a736-c400-4b69-b677-e7f6a746bd46","is_oa":true,"landing_page_url":"https://pure.amsterdamumc.nl/en/publications/ca26a736-c400-4b69-b677-e7f6a746bd46","pdf_url":"https://pure.amsterdamumc.nl/ws/files/161960098/Understanding-big-data-themes-from-scientific-biomedical-literature-through-topic-modeling.pdf","source":{"id":"https://openalex.org/S7407055222","display_name":"Pure Amsterdam UMC","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"van Altena, A J, Moerland, P D, Zwinderman, A H & Olabarriaga, S D 2016, 'Understanding big data themes from scientific biomedical literature through topic modeling', Journal of big data, vol. 3, pp. 23. https://doi.org/10.1186/s40537-016-0057-0","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:amcpub:oai:pure.amc.nl:publications/b59a1650-97d5-4ce3-983a-3b2bddf80c2a","is_oa":false,"landing_page_url":"https://pure.amc.nl/en/publications/understanding-big-data-themes-from-scientific-biomedical-literature-through-topic-modeling(b59a1650-97d5-4ce3-983a-3b2bddf80c2a).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of big data, 3. Springer Open","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1186/s40537-016-0057-0","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-016-0057-0","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-016-0057-0","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6899999976158142,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G1157973359","display_name":null,"funder_award_id":"2010-2016","funder_id":"https://openalex.org/F4320321800","funder_display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek"},{"id":"https://openalex.org/G629491556","display_name":null,"funder_award_id":"(NWO)","funder_id":"https://openalex.org/F4320321800","funder_display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek"},{"id":"https://openalex.org/G8948191093","display_name":null,"funder_award_id":"COMMIT","funder_id":"https://openalex.org/F4320321800","funder_display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek"}],"funders":[{"id":"https://openalex.org/F4320321800","display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","ror":"https://ror.org/04jsz6e67"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2553014740.pdf","grobid_xml":"https://content.openalex.org/works/W2553014740.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W107389347","https://openalex.org/W1494137514","https://openalex.org/W1500693574","https://openalex.org/W1505837402","https://openalex.org/W1541250240","https://openalex.org/W1557757161","https://openalex.org/W1753361524","https://openalex.org/W1837655402","https://openalex.org/W1880262756","https://openalex.org/W1918839972","https://openalex.org/W1987135830","https://openalex.org/W2025001960","https://openalex.org/W2030397439","https://openalex.org/W2041258965","https://openalex.org/W2048024857","https://openalex.org/W2058815839","https://openalex.org/W2069433961","https://openalex.org/W2079756993","https://openalex.org/W2113855231","https://openalex.org/W2120422643","https://openalex.org/W2133120537","https://openalex.org/W2141975087","https://openalex.org/W2144100511","https://openalex.org/W2146068062","https://openalex.org/W2150102617","https://openalex.org/W2159128662","https://openalex.org/W2159426623","https://openalex.org/W2160170318","https://openalex.org/W2161793142","https://openalex.org/W2168175751","https://openalex.org/W2168332560","https://openalex.org/W2174706414","https://openalex.org/W2242643787","https://openalex.org/W2257518081","https://openalex.org/W2303147257","https://openalex.org/W2321470647","https://openalex.org/W2334889010","https://openalex.org/W2338305720","https://openalex.org/W2513637711","https://openalex.org/W2597289420","https://openalex.org/W4239545511","https://openalex.org/W4399636842","https://openalex.org/W6639619044"],"related_works":["https://openalex.org/W2394171004","https://openalex.org/W2360733422","https://openalex.org/W2362583379","https://openalex.org/W4390608645","https://openalex.org/W2361870167","https://openalex.org/W2381092078","https://openalex.org/W2354471020","https://openalex.org/W4247566972","https://openalex.org/W2351873602","https://openalex.org/W2348996850"],"abstract_inverted_index":{"Nowadays,":[0],"big":[1,58,72,92,128,145,201,234,271],"data":[2,59,73,93,129,202,235,272],"is":[3,16,277],"a":[4,19,25,52,66,75,156,244],"key":[5,127],"component":[6],"in":[7,38,155,225,259,278],"(bio)medical":[8,40,84,170,275],"research.":[9],"However,":[10],"the":[11,14,39,70,98,199,214,226,231,260,267,274,285],"meaning":[12],"of":[13,22,49,57,69,82,106,144,158,165,209,230,270,284],"term":[15,71],"subject":[17],"to":[18,33,88],"wide":[20],"array":[21],"opinions,":[23],"without":[24],"formal":[26],"definition.":[27],"This":[28],"hampers":[29],"communication":[30],"and":[31,124,135,141,147,180,240],"leads":[32],"missed":[34],"opportunities.":[35],"For":[36],"example,":[37],"field":[41],"we":[42,64],"have":[43,51,138,243],"observed":[44],"many":[45],"different":[46],"interpretations,":[47],"some":[48],"which":[50,120],"negative":[53],"connotation,":[54],"impeding":[55],"exploitation":[56],"approaches.":[60],"In":[61],"this":[62],"paper":[63,166],"pursue":[65],"better":[67],"understanding":[68,269],"through":[74],"data-driven":[76],"systematic":[77],"approach":[78],"using":[79],"text":[80,178],"analysis":[81,208],"scientific":[83],"literature.":[85],"We":[86,102,137],"attempt":[87],"find":[89],"how":[90],"existing":[91],"definitions":[94,123,143,283],"are":[95,222],"expressed":[96,224],"within":[97,273],"chosen":[99],"application":[100],"domain.":[101],"build":[103],"upon":[104],"findings":[105,264],"previous":[107],"qualitative":[108],"research":[109],"by":[110,204,217],"De":[111,218],"Mauro":[112,219],"et":[113,220],"al.":[114,221],"(Lib":[115],"Rev":[116],"65:":[117],"122\u2013135,":[118],"14),":[119],"analysed":[121],"fifteen":[122],"identified":[125],"four":[126],"themes":[130,203,215],"(i.e.,":[131,237],"information,":[132],"methods,":[133],"technology,":[134],"impact).":[136],"revisited":[139],"these":[140,210],"other":[142],"data,":[146],"consolidated":[148],"them":[149],"into":[150],"eight":[151],"additional":[152],"themes,":[153],"resulting":[154,191],"total":[157],"twelve":[159,200],"themes.":[160],"The":[161,190,207],"corpus":[162],"was":[163,185],"composed":[164],"abstracts":[167],"extracted":[168],"from":[169],"literature":[171],"databases,":[172],"searching":[173],"for":[174],"\u2018big":[175],"data\u2019.":[176],"After":[177],"pre-processing":[179],"parameter":[181],"selection,":[182],"topic":[183,195],"modelling":[184],"applied":[186],"with":[187,198,280],"25":[188,261],"topics.":[189,262],"top-20":[192],"words":[193],"per":[194],"were":[196,255],"annotated":[197],"seven":[205],"observers.":[206],"annotations":[211],"show":[212,265],"that":[213,266],"proposed":[216],"strongly":[223],"corpus.":[227],"Furthermore,":[228],"several":[229],"most":[232],"popular":[233],"V\u2019s":[236,249],"volume,":[238],"velocity,":[239],"value)":[241],"also":[242],"relatively":[245],"high":[246],"presence.":[247],"Other":[248],"introduced":[250],"more":[251,281],"recently":[252],"(e.g.":[253],"variability)":[254],"however":[256],"hardly":[257],"found":[258],"These":[263],"current":[268],"domain":[276],"agreement":[279],"general":[282],"term.":[286]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":5}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
