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dc.contributor.authorBarabucci, Gioele <Norwegian University of Science and Engineering (NTNU)>
dc.contributor.authorTomasi, Francesca <Università di Bologna>
dc.contributor.authorVitali, Fabio <Unversità di Bologna>
dc.date.accessioned2022-05-30T17:33:04Z
dc.date.available2022-05-30T17:33:04Z
dc.date.issued2022
dc.identifier.citationGioele Barabucci, Francesca Tomasi, Fabio Vitali, "Modeling Data Complexity in Public History and Cultural Heritage", in Handbook of Digital Public History, edited by Serge Noiret, Mark Tebeau and Gerben Zaagsma, Berlin, Boston: De Gruyter Oldenbourg, 2022, pp. 459-474it_IT
dc.identifier.isbn978-3-11-043922-9it_IT
dc.identifier.isbne-ISBN: 978-3-11-043029-5
dc.identifier.urihttps://doi.org/10.1515/9783110430295-041it_IT
dc.identifier.urihttp://elea.unisa.it:8080/xmlui/handle/10556/6159
dc.identifier.urihttp://dx.doi.org/10.14273/unisa-4251
dc.description.abstractThe publication by Galleries, Libraries, Archives and Museums of metadataabout their collections is fundamental for the creation of our shared digital culturalheritage. Yet, we argue, these digital collections are, on one hand, of little use toscholars (because of the inconsistent quality of the published records), and, on theother hand, they fail to attract the interest of the general public (because of their drycontent). These problems are exacerbated by the current move towards public history,where citizens are no longer just passive actors, but play an active role in contribut-ing, maintaining and curating historical records, leading some to question the trust-worthiness of collections in which non-scholars have the ability to contribute. Thecore issue behind all these problems is, we believe, a (doomed) search for objectivity,often caused by the fact that data models ignore the derivative and stratified nature ofcultural objects, and allow only one point of view to be expressed. In turn this forcesthe publication of bowdlerized records and removes any venue for the expression ofdisagreement and different opinions. We propose an approach named“contexts”tosolve these issues. The adoption of contexts makes it possible to support multiplepoints of view inside the same dataset, not only allowing multiple scholars to providetheir own possibly contrasting points of view, but also making it possible to incorpo-rate additions, corrections and more complex kinds of commentaries from citizenswithout compromising the trustworthiness of the whole dataset.it_IT
dc.format.extentP. 459-474it_IT
dc.language.isoenit_IT
dc.publisherG. Barabucci, F. Tomasi, F. Vitali, "Modeling Data Complexity in Public History and Cultural Heritage", in Handbook of Digital Public History, Berlin, Boston: De Gruyter Oldenbourg, 2022, pp. 459-474it_IT
dc.relation.ispartofDe Gruyter Referenceit_IT
dc.rightsDiritti riservati Walter de Gruyter GmbH, Berlin/Bostonit_IT
dc.sourceUniSa. Sistema Bibliotecario di Ateneoit_IT
dc.subjectTrustworthinessit_IT
dc.subjectMultiplicityit_IT
dc.subjectContextsit_IT
dc.subjectDisagreementit_IT
dc.subjectCultural heritage metadatait_IT
dc.titleModeling Data Complexity in Public History and Cultural Heritageit_IT
dc.typeBook chapterit_IT
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