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        <datestamp>2024-08-19T10:47:33Z</datestamp>
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          <identifier identifierType="DOI">10.5522/04/26504347.v1</identifier>
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              <creatorName>Lam, Joseph</creatorName>
              <givenName>Joseph</givenName>
              <familyName>Lam</familyName>
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          <titles>
            <title><![CDATA[Jyutping Project - Raw Data and Clean Data]]></title>
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          <subjects>
            <subject>Database systems</subject>
            <subject>Health systems</subject>
            <subject>Health equity</subject>
            <subject>names</subject>
            <subject>jyutping</subject>
            <subject>pinyin</subject>
            <subject>data linkage</subject>
          </subjects>
          <dates>
            <date dateType="Created">2024-08-19</date>
            <date dateType="Updated">2024-08-19</date>
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          <resourceType resourceTypeGeneral="Dataset">Dataset</resourceType>
          <publicationYear>2024</publicationYear>
          <publisher>University College London</publisher>
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            <description descriptionType="Abstract"><![CDATA[<p dir="ltr">Raw and clean data for Jyutping project, submitted to International Journal of Epidemiology.</p><p dir="ltr">All data are openly available at the time of scrapping. I only retained Chinese Name and Hong Kong Government Romanised English Names. </p><p dir="ltr">This project aims to describe the problem of non-standardised romanisation and it's impact on data linkage. The included data allows researchers to replicate my process of extracting Jyutping and Pinyin from Chinese Characters. Quite a few of manual screening and reviewing was required, so the code itself was not fully automated. The codes are stored on my personal GitHub, https://github.com/Jo-Lam/Jyutping_project/tree/main.</p><p dir="ltr">Please cite this data resource: doi:10.5522/04/26504347</p><p><br></p>]]></description>
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