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       <contributors>
          <authors>
             <author>Günther, G.</author>
             <author>Baunack, S.</author>
             <author>Capozza, L.</author>
             <author>Freyermuth, O.</author>
             <author>Gonzalez-Caminal, P.</author>
             <author>Gou, B.</author>
             <author>Isaak, J.</author>
             <author>Karstensen, S.</author>
             <author>Lindner, A.</author>
             <author>Maas, F.</author>
             <author>Mannix, O.</author>
             <author>Mistry, A.K.</author>
             <author>Oceano, I.</author>
             <author>Schneide, C.</author>
             <author>Schwarz, K.</author>
             <author>Schörner-Sadenius, T.</author>
             <author>Serve, V.</author>
             <author>Stein, L.-M.</author>
             <author>Typel, S.</author>
             <author>Wilfert, M.C.</author>
          </authors>
       </contributors>
       <titles>
          <title>
             IR of FAIR - Principles at the Instrument Level
          </title>
       </titles>
       <publisher>JACoW Publishing</publisher>
       <pub-location>Geneva, Switzerland</pub-location>
		 <isbn>2226-0358</isbn>
		 <isbn>978-3-95450-238-7</isbn>
		 <electronic-resource-num>10.18429/JACoW-ICALEPCS2023-WE3BCO09</electronic-resource-num>
		 <language>English</language>
		 <pages>1046-1050</pages>
       <keywords>
          <keyword>experiment</keyword>
          <keyword>software</keyword>
          <keyword>GUI</keyword>
          <keyword>framework</keyword>
          <keyword>controls</keyword>
       </keywords>
       <work-type>Contribution to a conference proceedings</work-type>
       <dates>
          <year>2024</year>
          <pub-dates>
             <date>2024-02</date>
          </pub-dates>
       </dates>
       <urls>
          <related-urls>
              <url>https://doi.org/10.18429/JACoW-ICALEPCS2023-WE3BCO09</url>
              <url>https://jacow.org/icalepcs2023/papers/we3bco09.pdf</url>
          </related-urls>
       </urls>
       <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. 
       </abstract>
    </record>
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