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Use este identificador para citar ou linkar para este item: http://repositorio.unb.br/handle/10482/43348
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dc.contributor.authorSiqueira, Joyce-
dc.contributor.authorCarmo, Danielle do-
dc.contributor.authorMartins, Dalton Lopes-
dc.contributor.authorLemos, Daniela Lucas da Silva-
dc.contributor.authorMedeiros, Vinicius Nunes-
dc.contributor.authorOliveira, Luis Felipe Rosa de-
dc.date.accessioned2022-04-07T12:52:11Z-
dc.date.available2022-04-07T12:52:11Z-
dc.date.issued2021-06-15-
dc.identifier.citationSIQUEIRA, Joyce et al. Elements for constructing a data quality policy to aggregate digital cultural collections: ases of the Digital Public Library of America and Europeana Foundation. In: Bisset Álvarez, E. (ed.). Data and Information in Online Environments: DIONE 2021. Cham: Springer, 2021. (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, v. 378). DOI: https://doi.org/10.1007/978-3-030-77417-2_8.pt_BR
dc.identifier.urihttps://repositorio.unb.br/handle/10482/43348-
dc.language.isoInglêspt_BR
dc.publisherSpringerpt_BR
dc.rightsAcesso Restritopt_BR
dc.titleElements for constructing a data quality policy to aggregate digital cultural collections: ases of the Digital Public Library of America and Europeana Foundationpt_BR
dc.typeParte de livro ou capítulo de livropt_BR
dc.subject.keywordAgregação de dados culturaispt_BR
dc.subject.keywordPolítica de qualidade de dadospt_BR
dc.subject.keywordAgregador institucionalpt_BR
dc.identifier.doihttps://doi.org/10.1007/978-3-030-77417-2_8pt_BR
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007/978-3-030-77417-2_8pt_BR
dc.description.abstract1Institutions around the world have sought to aggregate different cultural heritage data sources in order to provide society with comprehensive and useful services. This qualitative exploratory study presents a comparative analysis of two paradigmatic institutional aggregators, namely the Europeana Foundation in the European Union and the Digital Public Library of America in the United States. To that end, strategic aggregation documents were identified and quality policy elements analyzed and compared. As a result, nine quality-oriented data aggregation elements were selected: data providers; application process; metadata model; data exchange agreement; copyright license; call for applications; metadata use; technical criteria for data quality and data validation and publication. The elements identified and described are important in formulating processes that make it possible to aggregate digital cultural heritage collections from different Brazilian institutions and provide support for the solution currently being developed in collaboration with the Brazilian Institute of Museums (Ibram).pt_BR
dc.description.unidadeFaculdade de Ciência da Informação (FCI)pt_BR
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