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        <identifier>oai:dcpapers.dublincore.org:952137674</identifier>
        <datestamp>2017-11-27</datestamp>
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      <dc:title>Data-Driven Development of the Dewey Decimal  Classification</dc:title>
      <dc:creator>Green, Rebecca</dc:creator>
      <dc:description>Changes involved in maintaining the Dewey Decimal
                    Classification (DDC), a general classification system, have derived in the past
                    from many distinct sources. Without disregarding these sources, the DDC
                    editorial team is also considering data-driven methods of (1) identifying
                    existing areas of the DDC warranting further development or (2) identifying
                    topics with sufficient literary warrant to justify explicit inclusion in the
                    DDC. The use of two sources of data is under investigation. The first data
                    source reflects the assignment of recently created Library of Congress Subject
                    Headings (LCSHs) to resources described in WorldCat records (i.e., LCSHs added
                    within the past 5 years). The second data source reflects the assignment of
                    numbers from the current full edition of Dewey to WorldCat records. The topics
                    and schedule areas identified through these means require investigation to
                    ascertain if they are viable candidates for further development. Preliminary
                    work with these data sources reveals that the strategies hold
                    promise.</dc:description>
      <dc:publisher>Dublin Core Metadata Initiative</dc:publisher>
      <dc:date>2017-11-27</dc:date>
      <dc:type>Text</dc:type>
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      <dc:identifier>https://doi.org/10.23106/dcmi.952137674</dc:identifier>
      <dc:identifier>https://dcpapers.dublincore.org/article/952137674</dc:identifier>
      <dc:source>Dublin Core Metadata Initiative Conference Proceedings</dc:source>
      <dc:language>en</dc:language>
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