| Hauptseite > Publikationsdatenbank > IR of FAIR - Principles at the Instrument Level |
| Contribution to a conference proceedings | GSI-2025-00313 |
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2024
JACoW Publishing, Geneva, Switzerland
Please use a persistent id in citations: doi:10.18429/JACOW-ICALEPCS2023-WE3BCO09 doi:10.15120/GSI-2025-00313
Abstract: Awareness of the need for FAIR data management has increased in recent years but examples of how to achieve this are often missing. Focusing on the large-scale instrument A4 at the MAMI accelerator, we transfer findings of the EMIL project at the BESSY synchrotron* to improve raw data, i.e. the primary output stored on long-term basis, according to the FAIR principles. Here, the instrument control software plays a key role as the central authority to start measurements and orchestrate connected (meta)data-taking processes. In regular discussions we incorporate the experiences of a wider community and engage to optimize instrument output through various measures from conversion to machine-readable formats over metadata enrichment to additional files creating scientific context. The improvements were already applied to currently built next generation instruments and could serve as a general guideline for publishing data sets.
Keyword(s): Accelerator Physics ; Software
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