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@MASTERSTHESIS{Schnorrenberg:1040401,
      author       = {Schnorrenberg, Klara},
      title        = {{C}onceptualization of a {C}entral {S}torage and
                      {M}anagement for {R}outines within {L}aboratory
                      {M}easurements},
      volume       = {4448},
      school       = {FH Aachen},
      type         = {Masterarbeit},
      address      = {Jülich},
      publisher    = {Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag},
      reportid     = {FZJ-2025-01880},
      series       = {Berichte des Forschungszentrums Jülich},
      pages        = {XIV, 117},
      year         = {2025},
      note         = {Masterarbeit, FH Aachen, 2024},
      abstract     = {At PGI-4 (formerly ZEA-2) of Forschungszentrum Jülich, the
                      measurement routines for laboratory equipment have not been
                      stored in a centralized repository. Instead, they have been
                      created and managed individually in various software
                      programs. This project aims to develop a centralized storage
                      and management solution for measurement routines to
                      facilitate more efficient and user-friendly handling of
                      laboratory processes. The objective is to develop a
                      programmer-independent routine management system that
                      permits flexible execution of routines by transforming them
                      into different formats and utilizing shared libraries. This
                      thesis presents a variety of approaches for implementing and
                      storing routines, including the use of shared libraries and
                      specific transformation techniques that allow routines to be
                      executed independently of the programming language. To
                      identify an optimal approach, the AHP-TOPSIS decision-making
                      method is employed. This hybrid method allows for a
                      structured evaluation and selection of the most suitable
                      approaches by evaluating the criteria and requirements for
                      the routines. The technical implementation of the central
                      routine management is carried out via a MongoDB database,
                      which allows for the central management of the routines
                      thanks to its flexible structure and the possibility of
                      secure storage. Routines can be added, managed, and updated
                      via a user-friendly web interface, which supports the
                      efficient and reliable use of the routines for different
                      laboratory processes. A proof of concept is developed in
                      Python to demonstrate the functionality of the solution.
                      Furthermore, a concept is developed for executing the
                      routines independently of the programming language of the
                      measurement script, which employs shared libraries for
                      execution. Finally, the concept is based on the Findability,
                      Accessibility, Interoperability, and Reusability
                      (FAIR)-principles to ensure the long-term reusability and
                      accessibility of the measurement routines.},
      cin          = {PGI-4},
      cid          = {I:(DE-Juel1)PGI-4-20110106},
      pnm          = {5223 - Quantum-Computer Control Systems and Cryoelectronics
                      (POF4-522)},
      pid          = {G:(DE-HGF)POF4-5223},
      typ          = {PUB:(DE-HGF)3 / PUB:(DE-HGF)19},
      doi          = {10.34734/FZJ-2025-01880},
      url          = {https://juser.fz-juelich.de/record/1040401},
}