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        <datestamp>2026-09-22T08:07:36Z</datestamp>
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          <dc:title>Analyzing the Availability of Private Contact Channels for PyPI Libraries</dc:title>
          <dc:creator>Alexandros Tsakpinis (17863247)</dc:creator>
          <dc:creator>Alexander Pretschner (9241805)</dc:creator>
          <dc:subject>Empirical software engineering</dc:subject>
          <dc:subject>Contact Information</dc:subject>
          <dc:subject>OSS Libraries</dc:subject>
          <dc:subject>PyPI Ecosystem</dc:subject>
          <dc:subject>Repository Mining</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;The dataset is a JSON file mapping library names to the following information:&lt;/p&gt;&lt;ul&gt;&lt;li&gt;their direct dependencies&lt;/li&gt;&lt;li&gt;available e-mail addresses on PyPI&lt;/li&gt;&lt;li&gt;where available, e-mail addresses and repository ownership type found on GitHub&lt;/li&gt;&lt;/ul&gt;&lt;p dir="ltr"&gt;The notebook analyzes the data to calculate the following metrics:&lt;/p&gt;&lt;ul&gt;&lt;li&gt;Distribution of sources where e-mail addresses are provided&lt;/li&gt;&lt;li&gt;Distribution of invalid e-mail addresses&lt;/li&gt;&lt;li&gt;Ratio of libraries providing e-mail addresses&lt;/li&gt;&lt;li&gt;Ratio of libraries in dependency chains providing e-mail addresses&lt;/li&gt;&lt;/ul&gt;&lt;p dir="ltr"&gt;There is also code and aggregated results from a domain name analysis. Note, that Email addresses are intentionally not added to the dataset to protect the privacy of authors and maintainers.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-22T08:07:36Z</dc:date>
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