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        <identifier>oai:dcpapers.dublincore.org:952136202</identifier>
        <datestamp>2013-09-02</datestamp>
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      <dc:title>Implementation of a Linked Open Data Solution for the Statistics Agency of Cantabria&apos;s Metadata and Data Bank</dc:title>
      <dc:creator>Fernández, Alejandro Villar</dc:creator>
      <dc:creator>Santurtún Zarrabeitia, Ana</dc:creator>
      <dc:subject>Linked Open Data</dc:subject>
      <dc:subject>statistics</dc:subject>
      <dc:subject>ICANE</dc:subject>
      <dc:subject>Spain</dc:subject>
      <dc:subject>Cantabria</dc:subject>
      <dc:subject>SKOS</dc:subject>
      <dc:subject>RDF</dc:subject>
      <dc:subject>RDFa</dc:subject>
      <dc:subject>Semantic Web</dc:subject>
      <dc:description>Statistics is a fundamental piece inside the Open Government philosophy, 
                    being a basic tool for citizens to know and make informed decisions about the society in which 
                    they participate. Due to the great number of organizations and agencies that collect, process 
                    and publish statistical data all over the world, several standards and methodologies for 
                    information exchange have been created in recent years in order to improve interoperability 
                    between data producers and consumers, of which SDMX is one of the most renowned examples. 
                    Despite having been developed independently of this, the global Semantic Web effort (backed 
                    mainly by the W3C-driven Linked Open Data initiatives) presents itself as an extremely useful 
                    tool for publishing both completely contextualized metadata and data, therefore making them 
                    easily understandable and processable by third parties. This report details the changes made 
                    to the IT systems of the Statistical Agency of Cantabria (Instituto Cántabro de Estadística, 
                    ICANE) with the purpose of implementing a Linked Open Data solution for its website and 
                    statistical data bank, making all data and metadata published by this Agency available not 
                    only to humans, but to automatized consumers, too.  Multiple standards, recommendations and 
                    vocabularies were used for this task, ranging from Dublin Core metadata RDFa tagging, through 
                    the creation of several SKOS concept schemes, to providing statistical data using the RDF 
                    Data Cube vocabulary.</dc:description>
      <dc:publisher>Dublin Core Metadata Initiative</dc:publisher>
      <dc:date>2013-09-02</dc:date>
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      <dc:identifier>https://doi.org/10.23106/dcmi.952136202</dc:identifier>
      <dc:identifier>https://dcpapers.dublincore.org/article/952136202</dc:identifier>
      <dc:source>Dublin Core Metadata Initiative Conference Proceedings</dc:source>
      <dc:language>en</dc:language>
      <dc:relation>https://www.wikidata.org/wiki/Q120636620</dc:relation>
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