TY  - JOUR
A1  - Schilling, Markus
A1  - Marschall, Niklas
A1  - Niebergall, Ute
A1  - Böhning, Martin
T1  - Modernizing FNCT data handling in polymer labs: Towards efficient management
JF  - Computational Materials Science
N2  - 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.
KW  - PE-HD
KW  - Full-Notch Creep Test (FNCT)
KW  - Environmental Stress Cracking (ESC)
KW  - Data Interoperability
KW  - FAIR Data
KW  - Semantic Data
PY  - 2025
UR  - https://nbn-resolving.org/urn:nbn:de:kobv:b43-637826
DO  - https://doi.org/10.1016/j.commatsci.2025.114085
SN  - 0927-0256
VL  - 259
SP  - 1
EP  - 5
PB  - Elsevier B.V.
AN  - OPUS4-63782
LA  - eng
AD  - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany
ER  -