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dc.date.accessioned2026-07-02T12:26:37Z
dc.date.available2026-07-02T12:26:37Z
dc.description.abstractThe history of collecting is important because it can help us to understand how individuals, communities, societies and institutions like museums have sought to understand, capture, create and even contest their worlds. Yet researchers attempting to trace the movement of objects and collections between and within cultural heritage institutions are faced with complex data environments. Challenges relate to the intricacies of scope, size, availability, coverage, legacy attributes, level of digitisation and manifestation of collections, that often persist both within and between institutions. This complexity can impede data-driven collections research and likewise hinder infrastructural projects that seek to aggregate and digitally reconnect dispersed heritage collections. This paper accordingly proposes a methodological framework, the Collection Data Atlas, for mapping the informational landscape of complex cultural heritage collections that span institutions, information systems, epochs and materialities. Drawing on the research of the AHRC-funded ‘Sloane Lab: looking back to build future shared collections’ project, this paper presents an application of this framework, the Sloane Data Atlas as a synthesis and visualisation of the complex bibliographic and data environment of the collection of Sir Hans Sloane, the founding collection of the UK heritage sector.it_IT
dc.language.isoenit_IT
dc.rightsCC BYit_IT
dc.relation.ispartofjournalMagazénit_IT
dc.identifier.citationAndreas Vlachidis, Isobel MacDonald, Foteini Valeonti, Julianne Nyhan, Kim Sloan, A Data Atlas Method for Analysing and Visualising Dispersed Cultural Heritage Collections, «Magazén», 6, 2025, n. 2, pp. 149-178it_IT
dc.titleA Data Atlas Method for Analysing and Visualising Dispersed Cultural Heritage Collectionsit_IT
dc.sourceUniSa. Sistema Bibliotecario di Ateneoit_IT
dc.contributor.authorVlachidis, Andreas <University College London>
dc.contributor.authorMacDonald, Isobel <The British Museum>
dc.contributor.authorValeonti, Foteini <University College London>
dc.contributor.authorNyhan, Julianne <TU-Darmstadt>
dc.contributor.authorSloan, Kim <The British Museum>
dc.date.issued2025
dc.identifier.urihttps://edizionicafoscari.it/it/edizioni4/riviste/magazen/2025/2/a-data-atlas-method-for-analysing-and-visualising/it_IT
dc.identifier.urihttp://elea.unisa.it/xmlui/handle/10556/9556
dc.typeJournal Articleit_IT
dc.format.extentP. 149-178it_IT
dc.identifier.doihttp://doi.org/10.30687/mag/2724-3923/2025/02/002it_IT
dc.identifier.issn2724-3923it_IT
dc.subjectCollections as Datait_IT
dc.subjectCultural Heritageit_IT
dc.subjectDigital Humanitiesit_IT
dc.subjectSloaneit_IT
dc.subjectData Atlasit_IT
dc.publisher.alternativeA. Vlachidis, I. MacDonald, F. Valeonti, J. Nyhan, K. Sloan, A Data Atlas Method for Analysing and Visualising Dispersed Cultural Heritage Collections, «Magazén», 6, 2025, n. 2, pp. 149-178it_IT
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