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        <datestamp>2026-09-29T00:39:05Z</datestamp>
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          <dc:title>DOI Suffix Analysis Dataset: Large-Scale Data on Suffix Length, Character Composition, and Bibliographic Metadata across Crossref, DataCite, and JaLC</dc:title>
          <dc:creator>Jiro Kikkawa (777959)</dc:creator>
          <dc:subject>Informetrics</dc:subject>
          <dc:subject>Digital Object Identifier (DOI)</dc:subject>
          <dc:subject>DOI Suffix</dc:subject>
          <dc:subject>Persistent Identifiers (PIDs)</dc:subject>
          <dc:subject>Scholarly Infrastructure</dc:subject>
          <dc:subject>Open Research Information (ORI)</dc:subject>
          <dc:subject>Scientometrics</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;&lt;b&gt;This repository provides the data and analysis code associated with the manuscript "Design Practices of Persistent Identifiers in Open Research Information: An Empirical Analysis of DOI Suffixes across Crossref, DataCite, and JaLC," currently under review for the &lt;/b&gt;&lt;b&gt;&lt;i&gt;Scientometrics&lt;/i&gt;&lt;/b&gt;&lt;b&gt; special issue on "Open Research Information."&lt;/b&gt;&lt;/p&gt;&lt;p dir="ltr"&gt;The underlying study is based on 248,049,018 unique DOI records from three major DOI registration agencies: Crossref, DataCite, and the Japan Link Center (JaLC). It examines DOI suffix characteristics from multiple perspectives, including suffix-length distributions and temporal trends, individual character usage and character-composition patterns, variation across DOI-associated platforms using fully qualified domain names (FQDNs), and the occurrence of strings corresponding to bibliographic metadata elements such as ISSNs, ISBNs, and publication years.&lt;/p&gt;&lt;p dir="ltr"&gt;This repository contains the analysis scripts, derived datasets used to construct the tables and figures presented in the manuscript, and a Jupyter Notebook documenting the analytical workflow. Large-scale parsing and aggregation were performed primarily in Ruby, while Python and pandas were used for inspection, tabulation, and post-processing of the aggregated results.&lt;/p&gt;&lt;p dir="ltr"&gt;The materials are provided to support transparency, reproducibility, and further research on DOI suffix construction, persistent identifier design practices, and open research information infrastructures.&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p dir="ltr"&gt;&lt;b&gt;Fundings&lt;/b&gt;&lt;/p&gt;&lt;p dir="ltr"&gt;JSPS KAKENHI Grant Numbers &lt;a href="https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-26K03247/" target="_blank" rel="noreferrer"&gt;JP26K03247&lt;/a&gt;, &lt;a href="https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-26K03240/" target="_blank" rel="noreferrer"&gt;JP26K03240&lt;/a&gt;, &lt;a href="https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-22K18147/" target="_blank"&gt;JP22K18147&lt;/a&gt;, and &lt;a href="https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-23K11761" target="_blank"&gt;JP23K11761&lt;/a&gt;.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-29T00:39:05Z</dc:date>
          <dc:type>Dataset</dc:type>
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          <dc:identifier>10.6084/m9.figshare.34012584.v1</dc:identifier>
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