Best practices in bibliographic data science

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dc.contributor.authorLahti L
dc.contributor.authorVaara V
dc.contributor.authorMarjanen J
dc.contributor.authorTolonen M
dc.contributor.organizationfi=kieli- ja puheteknologia|en=Language and Speech Technology|
dc.contributor.organization-code1.2.246.10.2458963.20.47465613983
dc.converis.publication-id44646716
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/44646716
dc.date.accessioned2022-10-28T13:02:54Z
dc.date.available2022-10-28T13:02:54Z
dc.description.abstract<p>Bibliographic data science aims to quantify historical trends in knowledge production based on the rich information content in library catalogue metadata collections. Compared to the earlier attempts in book history, advances in data science are now making it possible to automate remarkable portions of such analyses, while maintaining or improving data quality and completeness. Such quantitative approaches can support the analysis of classical questions in intellectual history. Here, we discuss best practices in this emerging research field.  <br /></p>
dc.format.pagerange57
dc.format.pagerange65
dc.identifier.eisbn978-952-62-2321-6
dc.identifier.isbn978-952-62-2320-9
dc.identifier.issn1796-4725
dc.identifier.olddbid179331
dc.identifier.oldhandle10024/162425
dc.identifier.urihttps://www.utupub.fi/handle/11111/37030
dc.identifier.urlhttp://urn.fi/urn:isbn:9789526223216
dc.identifier.urnURN:NBN:fi-fe2021042820891
dc.language.isoen
dc.okm.affiliatedauthorLahti, Leo
dc.okm.discipline113 Computer and information sciencesen_GB
dc.okm.discipline6121 Languagesen_GB
dc.okm.discipline113 Tietojenkäsittely ja informaatiotieteetfi_FI
dc.okm.discipline6121 Kielitieteetfi_FI
dc.okm.internationalcopublicationnot an international co-publication
dc.okm.internationalityDomestic publication
dc.okm.typeA3 Book
dc.publisherOulun Yliopisto
dc.publisher.countryFinlanden_GB
dc.publisher.countrySuomifi_FI
dc.publisher.country-codeFI
dc.publisher.isbn978-951-42; 978-952-62
dc.publisher.placeOulu
dc.relation.ispartofseriesStudia Humaniora Ouluensia
dc.relation.volume17
dc.source.identifierhttps://www.utupub.fi/handle/10024/162425
dc.titleBest practices in bibliographic data science
dc.title.bookProceedings of the Research Data And Humanities (RDHUM) 2019 Conference: Data, Methods And Tools
dc.year.issued2019

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