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<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd http://dublincore.org/schemas/xmls/qdc/dcterms.xsd"><dc:language>eng</dc:language><dc:creator>Günther, Gerrit</dc:creator><dc:creator>Baunack, Sebastian</dc:creator><dc:creator>Mannix, Oonagh</dc:creator><dc:creator>Mistry, Andrew</dc:creator><dc:creator>Oceano, Isabella</dc:creator><dc:creator>Schneide, Christiane</dc:creator><dc:creator>Schwarz, Kilian</dc:creator><dc:creator>Schörner-Sadenius, Thomas</dc:creator><dc:creator>Serve, Vivien</dc:creator><dc:creator>Stein, Lisa-Marie</dc:creator><dc:creator>Typel, Stefan</dc:creator><dc:creator>Wilfert, Malte</dc:creator><dc:creator>Capozza, Luigi</dc:creator><dc:creator>Freyermuth, Oliver</dc:creator><dc:creator>Gonzalez-Caminal, Pau</dc:creator><dc:creator>Gou, Boxing</dc:creator><dc:creator>Isaak, Johann</dc:creator><dc:creator>Karstensen, Sven</dc:creator><dc:creator>Lindner, Axel</dc:creator><dc:creator>Maas, Frank</dc:creator><dc:contributor>Schaa, Volker RW</dc:contributor><dc:contributor>Götz, Andy</dc:contributor><dc:contributor>Venter, Johan</dc:contributor><dc:contributor>White, Karen</dc:contributor><dc:contributor>Robichon, Marie</dc:contributor><dc:contributor>Rowland, Vivienne</dc:contributor><dc:title>IR of FAIR - Principles at the Instrument Level</dc:title><dc:subject>Accelerator Physics</dc:subject><dc:subject>Software</dc:subject><dc:description>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.</dc:description><dc:source>JACoW Publishing, Geneva, Switzerland 5 pages (2024). doi:10.18429/JACOW-ICALEPCS2023-WE3BCO09</dc:source><dc:type>info:eu-repo/semantics/conferenceObject</dc:type><dc:type>info:eu-repo/semantics/publishedVersion</dc:type><dc:source>The 19th Biennial International Conference on Accelerator and Large Experimental Physics Control Systems, ICALEPCS2023, Cape Town, South Africa, 2023-10-09 - 2023-10-09</dc:source><dc:publisher>JACoW Publishing, Geneva, Switzerland</dc:publisher><dc:date>2024</dc:date><dc:rights>info:eu-repo/semantics/openAccess</dc:rights><dc:coverage>DE</dc:coverage><dc:identifier>https://repository.gsi.de/record/357074</dc:identifier><dc:identifier>https://repository.gsi.de/search?p=id:%22GSI-2025-00313%22</dc:identifier><dc:audience>Researchers</dc:audience><dc:relation>info:eu-repo/semantics/altIdentifier/doi/10.15120/GSI-2025-00313</dc:relation><dc:relation>info:eu-repo/semantics/altIdentifier/doi/10.18429/JACOW-ICALEPCS2023-WE3BCO09</dc:relation></oai_dc:dc>

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