• Current methods to FAIR data in LAM

    Author(s):
    Angela M. Hurshman (see profile)
    Date:
    2022
    Subject(s):
    Data curation, Libraries, Archives, Museums, Copyright, Intellectual property, Semantic Web, Linked data, Cultural property
    Item Type:
    Essay
    Tag(s):
    digital cultural heritage, digital curation, FAIR data, metadata, RDF
    Permanent URL:
    https://doi.org/10.17613/cwt7-yq91
    Abstract:
    The rapid and en masse digitization of cultural heritage collections in libraries, archives, and museums (LAM) alongside the rise of the world wide web, while institutions all had different softwares and standards, has led to siloed cultural heritage data in the context of the FAIR open data movement. This matter, in conjunction with copyright and intellectual property concerns ever-present in LAM collections management, complicates the digital curation field trend towards alignment with the FAIR guiding principles for these cultural heritage institutions. In lieu of the rise of Digital Humanities scholarship and the demand for equitable access to and increased public return-on-investment from cultural heritage institutions' collections, discussions and methods addressing the silo effect are emerging. This short research paper summarizes FAIR open data standards and best practices in appraisal of what should and should not be made open data in the context of copyright and intellectual property in cultural heritage collections. Following, is a conceptual survey and analysis of how Semantic Web methods and Linked Open Data open are showing promise in breaking down the digital silo effect. Ending with a brief review of metadata aggregation platforms such as Europeana versus publishing collections as Linked Open Data to platforms such as Wiki-Commons as modest to frugal options to consider for alignment with the FAIR open data movement for LAM.
    Metadata:
    Status:
    Published
    Last Updated:
    5 months ago
    License:
    Attribution
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