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    <title language="eng">Modernizing FNCT data handling in polymer labs: Towards efficient management</title>
    <abstract language="eng">A streamlined Python-based workflow for transforming Full-Notch Creep Test (FNCT) data into organized, machine-actionable formats is presented. The workflow automates the conversion of raw FNCT data from classic CSV and Excel files into structured outputs that facilitate future semantic integration. Emphasizing practical data handling, the approach includes automation scripts for efficient data extraction, transformation, and storage, which culminate in well-ordered files. This transformation paves the way for potential semantic data integration and facilitates access for users with varying levels of digital experience to enhanced data management in polymer research and testing.</abstract>
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    <author>Markus Schilling</author>
    <author>Niklas Marschall</author>
    <author>Ute Niebergall</author>
    <author>Martin Böhning</author>
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      <value>Data Interoperability</value>
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    <collection role="ddc" number="62">Ingenieurwissenschaften</collection>
    <collection role="institutes" number="">5 Werkstofftechnik</collection>
    <collection role="institutes" number="">5.2 Metallische Hochtemperaturwerkstoffe</collection>
    <collection role="institutes" number="">5.3 Polymere Verbundwerkstoffe</collection>
    <collection role="institutes" number="">5.5 Materialmodellierung</collection>
    <collection role="institutes" number="">7 Bauwerkssicherheit</collection>
    <collection role="institutes" number="">7.5 Technische Eigenschaften von Polymerwerkstoffen</collection>
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