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Elements for Constructing a Data Quality Policy to Aggregate Digital Cultural Collections: Cases of the Digital Public Library of America and Europeana Foundation

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Data and Information in Online Environments (DIONE 2021)

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).

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Notes

  1. 1.

    IBRAM, Ibram Museums, http://www.museus.gov.br/os-museus/museus-ibram/, last accessed on 10/05/2020.

  2. 2.

    Markup language to facilitate online information sharing.

  3. 3.

    Protocol for collecting metadata records in repositories.

  4. 4.

    CREATIVE COMMONS. CC0 1.0 Universal (CC0 1.0) Public Domain Dedication (2020), https://creativecommons.org/publicdomain/zero/1.0/, last accessed on 10/16/2020.

  5. 5.

    LIBRARY OFCONGRESS. LC Name Authority File (LCNAF), https://id.loc.gov/authorities/names.html, last accessed on 10/19/2020.

  6. 6.

    VIAF. The Virtual International Authority File, http://viaf.org/, last accessed on 10/19/2020.

  7. 7.

    GETTY. Union List of Artist Names, https://www.getty.edu/research/tools/vocabularies/ulan/index.html, last accessed on 10/19/2020.

  8. 8.

    VRA. Cataloging Cultural Objects (CCO), https://vraweb.org/resources/cataloging-cultural-objects/, last accessed on 10/19/2020.

  9. 9.

    RDA. Resource Description and Access, https://www.rdatoolkit.org/about, last accessed on 10/19/2020.

  10. 10.

    RBMS. Descriptive Cataloging of Rare Materials, http://rbms.info/dcrm/dcrmmss/, last accessed on 10/19/2020.

  11. 11.

    LOD is a set of best practices for publishing and interlinking structured data on the web, establishing links between items from different sources to form a global data space (HEATH and BIZER, 2011 apud Santarém Segundo 2015).

  12. 12.

    HISTORIANA. Historiana, https://historiana.eu/, last accessed on 10/19/2020.

  13. 13.

    CLARIN. European Research Infrastructure for Language Resources and Technology, https://www.clarin.eu/, last accessed on 10/19/2020.

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Correspondence to Dalton Lopes Martins .

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© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Siqueira, J., do Carmo, D., Martins, D.L., da Silva Lemos, D.L., Medeiros, V.N., de Oliveira, L.F.R. (2021). Elements for Constructing a Data Quality Policy to Aggregate Digital Cultural Collections: Cases of the Digital Public Library of America and Europeana Foundation. In: Bisset Álvarez, E. (eds) Data and Information in Online Environments. DIONE 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 378. Springer, Cham. https://doi.org/10.1007/978-3-030-77417-2_8

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  • DOI: https://doi.org/10.1007/978-3-030-77417-2_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-77416-5

  • Online ISBN: 978-3-030-77417-2

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