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001040401 005__ 20250624202311.0
001040401 0247_ $$2datacite_doi$$a10.34734/FZJ-2025-01880
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001040401 1001_ $$0P:(DE-Juel1)176539$$aSchnorrenberg, Klara$$b0$$eCorresponding author$$ufzj
001040401 245__ $$aConceptualization of a Central Storage and Management for Routines within Laboratory Measurements$$f - 2024-11-06
001040401 260__ $$aJülich$$bForschungszentrum Jülich GmbH Zentralbibliothek, Verlag$$c2025
001040401 300__ $$aXIV, 117
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001040401 4900_ $$aBerichte des Forschungszentrums Jülich$$v4448
001040401 502__ $$aMasterarbeit, FH Aachen, 2024$$bMasterarbeit$$cFH Aachen$$d2024
001040401 520__ $$aAt 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.
001040401 536__ $$0G:(DE-HGF)POF4-5223$$a5223 - Quantum-Computer Control Systems and Cryoelectronics (POF4-522)$$cPOF4-522$$fPOF IV$$x0
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001040401 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)176539$$aForschungszentrum Jülich$$b0$$kFZJ
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001040401 9141_ $$y2025
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001040401 9201_ $$0I:(DE-Juel1)PGI-4-20110106$$kPGI-4$$lIntegrated Computing Architectures$$x0
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