JACoW is a publisher in Geneva, Switzerland that publishes the proceedings of accelerator conferences held around the world by an international collaboration of editors.
@inproceedings{guenther:icalepcs2023-we3bco09,
author = {G. Günther and S. Baunack and L. Capozza and O. Freyermuth and P. Gonzalez-Caminal and B. Gou and J. Isaak and S. Karstensen and A. Lindner and F. Maas and O. Mannix and A.K. Mistry and I. Oceano and C. Schneide and K. Schwarz and T. Schörner-Sadenius and V. Serve and L.-M. Stein and S. Typel and M.C. Wilfert},
% author = {G. Günther and S. Baunack and L. Capozza and O. Freyermuth and P. Gonzalez-Caminal and B. Gou and others},
% author = {G. Günther and others},
title = {{IR of FAIR - Principles at the Instrument Level}},
% booktitle = {Proc. ICALEPCS'23},
booktitle = {Proc. 19th Int. Conf. Accel. Large Exp. Phys. Control Syst. (ICALEPCS'23)},
eventdate = {2023-10-09/2023-10-13},
pages = {1046--1050},
paper = {WE3BCO09},
language = {english},
keywords = {experiment, software, GUI, framework, controls},
venue = {Cape Town, South Africa},
series = {International Conference on Accelerator and Large Experimental Physics Control Systems},
number = {19},
publisher = {JACoW Publishing, Geneva, Switzerland},
month = {02},
year = {2024},
issn = {2226-0358},
isbn = {978-3-95450-238-7},
doi = {10.18429/JACoW-ICALEPCS2023-WE3BCO09},
url = {https://jacow.org/icalepcs2023/papers/we3bco09.pdf},
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. }},
}