001     1040401
005     20250624202311.0
024 7 _ |a 10.34734/FZJ-2025-01880
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037 _ _ |a FZJ-2025-01880
100 1 _ |a Schnorrenberg, Klara
|0 P:(DE-Juel1)176539
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|e Corresponding author
|u fzj
245 _ _ |a Conceptualization of a Central Storage and Management for Routines within Laboratory Measurements
|f - 2024-11-06
260 _ _ |a Jülich
|c 2025
|b Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag
300 _ _ |a XIV, 117
336 7 _ |a Book
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336 7 _ |a Output Types/Supervised Student Publication
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336 7 _ |a Thesis
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336 7 _ |a MASTERSTHESIS
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336 7 _ |a masterThesis
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336 7 _ |a Master Thesis
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336 7 _ |a SUPERVISED_STUDENT_PUBLICATION
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490 0 _ |a Berichte des Forschungszentrums Jülich
|v 4448
502 _ _ |a Masterarbeit, FH Aachen, 2024
|c FH Aachen
|b Masterarbeit
|d 2024
520 _ _ |a 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.
536 _ _ |a 5223 - Quantum-Computer Control Systems and Cryoelectronics (POF4-522)
|0 G:(DE-HGF)POF4-5223
|c POF4-522
|f POF IV
|x 0
856 4 _ |y Restricted
856 4 _ |y OpenAccess
|u https://juser.fz-juelich.de/record/1040401/files/J%C3%BCl_4448.pdf
909 C O |o oai:juser.fz-juelich.de:1040401
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910 1 _ |a Forschungszentrum Jülich
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913 1 _ |a DE-HGF
|b Key Technologies
|l Natural, Artificial and Cognitive Information Processing
|1 G:(DE-HGF)POF4-520
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|v Quantum Computing
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914 1 _ |y 2025
915 _ _ |a OpenAccess
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915 _ _ |a Creative Commons Attribution CC BY 4.0
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920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)PGI-4-20110106
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980 _ _ |a master
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a book
980 _ _ |a I:(DE-Juel1)PGI-4-20110106
980 1 _ |a FullTexts


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