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        <datestamp>2026-09-27T05:50:17Z</datestamp>
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          <dc:title>Coworker Networks, Employee Departures and Staffing Loss in Three Financial Markets: Reproduction Materials</dc:title>
          <dc:creator>Abdulla Alketbi (24861970)</dc:creator>
          <dc:creator>Gautier Marti (24862781)</dc:creator>
          <dc:creator>Raed Jaradat (24862797)</dc:creator>
          <dc:subject>Data engineering and data science</dc:subject>
          <dc:subject>Workforce Mobility</dc:subject>
          <dc:subject>Employee turnover</dc:subject>
          <dc:subject>Complex networks</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;This disclosure-controlled reproducibility package accompanies the manuscript “Coworker networks, employee departures and staffing loss in three financial markets.” The study examines employee-departure patterns, coworker networks, staffing loss and firm-to-firm mobility across regulatory-register data from Hong Kong’s Securities and Futures Commission (SFC), the Australian Securities and Investments Commission (ASIC), and the United Kingdom’s Financial Conduct Authority (FCA).&lt;/p&gt;&lt;p dir="ltr"&gt;The package contains identifier-free aggregate results, numerical publication tables, figure-source data, synthetic test data, analysis and reporting code, configuration files, methodological protocols, publication figures, an environment specification, a file manifest and checksums. It supports exact regeneration of the released aggregate tables and reproduction of the publication figures.&lt;/p&gt;&lt;p dir="ltr"&gt;Raw regulatory records, personal or firm identifiers, appointment-level histories, row-level predictions and firm-level risk trajectories are not included. Full empirical model refitting requires the underlying regulatory records to be obtained lawfully from their respective providers and remains subject to provider terms. The included synthetic dataset supports checks of the expected schema and temporal logic but does not reproduce the empirical findings.&lt;/p&gt;&lt;p dir="ltr"&gt;The Figshare item-level licence is Creative Commons Attribution 4.0 International (CC BY 4.0). Original analysis software contained in &lt;code&gt;src/&lt;/code&gt; and &lt;code&gt;run_reproduction.py&lt;/code&gt; is additionally licensed under the MIT License, as specified in &lt;code&gt;LICENSE_CODE_MIT.txt&lt;/code&gt; and &lt;code&gt;LICENSE_SCOPE.md&lt;/code&gt;. Author-created aggregate data, tables, figures, documentation and other research materials are licensed under CC BY 4.0. The original SFC, ASIC and FCA records are not included in this archive. Anyone seeking to use those records must obtain them independently and comply with the relevant regulator’s terms and applicable legal requirements.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-27T05:50:17Z</dc:date>
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          <dc:identifier>10.6084/m9.figshare.34003548.v1</dc:identifier>
          <dc:relation>https://figshare.com/articles/dataset/Coworker_Networks_Employee_Departures_and_Staffing_Loss_in_Three_Financial_Markets_Reproduction_Materials/34003548</dc:relation>
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          <dc:rights>Open Access after 2027-09-26</dc:rights>
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