Título:	Elements for constructing a data quality policy to aggregate digital cultural collections: ases of the Digital Public Library of America and Europeana Foundation
Autor(es):	Siqueira, Joyce Carmo, Danielle do Martins, Dalton Lopes Lemos, Daniela Lucas da Silva Medeiros, Vinicius Nunes Oliveira, Luis Felipe Rosa de
Assunto:	Agregação de dados culturais Política de qualidade de dados Agregador institucional
Data de publicação:	15-Jun-2021
Editora:	Springer
Referência:	SIQUEIRA, 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.
Abstract:	Institutions 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).
Unidade Acadêmica:	Faculdade de Ciência da Informação (FCI)
DOI:	https://doi.org/10.1007/978-3-030-77417-2_8
Versão da editora:	https://link.springer.com/chapter/10.1007/978-3-030-77417-2_8
Aparece nas coleções:	Livros e afins

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