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dc.contributor.authorBlack , Suzanne R.
dc.contributor.authorFilgueira, Rosa
dc.contributor.authorMcAra, Lesley
dc.contributor.authorMiles, Brendan
dc.contributor.authorTerras, Melissa
dc.contributor.authorParsons, Mark
dc.date.accessioned2025-02-25T11:30:08Z
dc.date.available2025-02-25T11:30:08Z
dc.date.issued2024-01-01
dc.identifier293986231
dc.identifier353d9b5c-dcfd-4834-a73a-d4ce6efc4c6f
dc.identifier85173728635
dc.identifier.citationBlack , S R , Filgueira , R , McAra , L , Miles , B , Terras , M & Parsons , M 2024 , ' Cultural analytics in the UK : events data potential for the creative and cultural industries ' , Cultural Trends , vol. 33 , no. 5 , pp. 680-695 . https://doi.org/10.1080/09548963.2023.2263378en
dc.identifier.issn0954-8963
dc.identifier.urihttps://hdl.handle.net/10023/31485
dc.descriptionFunding: This work was supported by the Arts and Humanities Research Council [grant number AH/W007533/1].en
dc.description.abstractThis article investigates the potential for novel research utilising data generated by the Creative and Cultural Industries (CCI) in the UK, focussing on the long tail of metadata associated with the UK’s rich cultural events landscape. We conducted semi-structured interviews with 29 researchers and related domain experts to ascertain: (1) How cultural data is valued; (2) The landscape of cultural data; (3) How UK research can make better use of cultural events data; (4) The benefits and pitfalls of an evidence-based approach to cultural policy; and (5) The repercussions of the Covid-19 pandemic on how data-led work is positioned within the CCI. We advocate for the potential value of cultural events data to academic research, policy and industry, and also for a humanities-led approach. We suggest that a centralised cultural events data service for use in research, industry and policy is one way of supporting this.
dc.format.extent16
dc.format.extent1891691
dc.language.isoeng
dc.relation.ispartofCultural Trendsen
dc.rights© 2023 The Author(s). This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en
dc.subjectCreative industriesen
dc.subjectCultural analyticsen
dc.subjectEvents dataen
dc.subjectInfrastructureen
dc.subjectMethodsen
dc.subjectT-NDASen
dc.subjectMCCen
dc.titleCultural analytics in the UK : events data potential for the creative and cultural industriesen
dc.typeJournal articleen
dc.contributor.sponsorArts and Humanities Research Councilen
dc.contributor.institutionUniversity of St Andrews.School of Computer Scienceen
dc.identifier.doi10.1080/09548963.2023.2263378
dc.description.statusPeer revieweden
dc.identifier.grantnumberAH/W007533/1en


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