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   <dc:identifier>https://dx.doi.org/10.35097/1488</dc:identifier>
   <dc:creator>Reichert, Fabio</dc:creator>
   <dc:creator>Stamer, Florian</dc:creator>
   <dc:creator>Klenk, Felix</dc:creator>
   <dc:title>Identifying Digitalization Trends in Global Production Networks - A Python Data Mining Tool</dc:title>
   <dc:publisher>Karlsruhe Institute of Technology</dc:publisher>
   <dc:date>2023</dc:date>
   <dc:subject>Engineering</dc:subject>
   <dc:type>dataset</dc:type>
   <dc:subject>Dataset</dc:subject>
   <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
   <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
   <dc:description>Diese Software erlaubt das halbautomatische Analysieren bestehender Veröffentlichungen zum Thema Globale Produktionsnetzwerke mit Schwerpunkt Digitalisierung. Die Software erlaubt die Auswertung dieser Paper um thematische Trends zu identifizieren.</dc:description>
   <dc:description>This software allows the semi-automatic analysis of existing publications on the topic of global production networks with a focus on digitization. The software allows the evaluation of these papers in order to identify thematic trends.</dc:description>
   <dc:description>DE:&#xD;
Zur Ausführung wird Jupyter Notebook benötigt und die in der requirements.txt angegebenen Abhängigkeiten. Die Ausführung wird im Notebook erläutert und erfolgt top-down.&#xD;
ENG:&#xD;
Jupyter Notebook and the dependencies specified in the requirements.txt are required for execution. The execution is explained in the notebook and takes place top-down.</dc:description>
   <dc:identifier>10.5445/IR/1000136718</dc:identifier>
   <dc:identifier>KITopen-DOI</dc:identifier>
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