Paper |
Title |
Page |
WEBL05 |
FAIR Meets EMIL: Principles in Practice |
574 |
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- G. Günther, M. Bär, N. Greve, R. Krahl, M. Kubin, O. Mannix, W. Smith, S. Vadilonga, R. Wilks
HZB, Berlin, Germany
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Findability, accessibility, interoperability, and reusability (FAIR) form a set of principles required to ready information for computational exploitation. The Energy Materials In-Situ Laboratory Berlin (EMIL) at BESSY II, with its unique analytical instrumentation in direct combination with an industrially-relevant deposition tool, is in the final phase of commissioning. It provides an ideal testbed to ensure workflows are developed around the FAIR principles; enhancing usability for both human and machine agents. FAIR indicators are applied to assess compliance with the principles on an experimental workflow realized using Bluesky. Additional metadata collection by integrating an instrument PID, an electronic laboratory book, and a sample tracking system is considered along with staff training. Data are collected in Nexus format and made available in the ICAT repository. This paper reports on experiences, problems overcome, and areas still in need of improvement in future perspectives.
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Slides WEBL05 [0.953 MB]
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DOI • |
reference for this paper
※ https://doi.org/10.18429/JACoW-ICALEPCS2021-WEBL05
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About • |
Received ※ 08 October 2021 Accepted ※ 22 December 2021
Issue date ※ 24 February 2022 |
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Cite • |
reference for this paper using
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FRBR03 |
Status of Bluesky Deployment at BESSY II |
1064 |
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- W. Smith, S. Kazarski, R. Müller, P. Schnizer, S. Vadilonga, L. Vera Ramiréz
HZB, Berlin, Germany
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The modernization plan for the experimental DAQ at the BESSY II is underpinned by the capabilities provided by the Bluesky software ecosystem. To interface with the hardware Bluesky relies on the Ophyd library, that provides a consistent high-level interface across a wide-range of devices. Many elements of the accelerator, some beamlines and endstations are adopting the Bluesky software. To meet FAIR data obligations, the capture of metadata with Bluesky and the export into a permanent and easily accessible storage called ICAT are investigated. Finally, initial studies to investigate the integration of ML methods, like reinforcement learning were performed. This paper reports on the work that has been done so far at BESSY II to adopt Bluesky, problems that have been overcome and lessons learned.
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Slides FRBR03 [2.338 MB]
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DOI • |
reference for this paper
※ https://doi.org/10.18429/JACoW-ICALEPCS2021-FRBR03
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About • |
Received ※ 08 October 2021 Revised ※ 20 October 2021
Accepted ※ 22 December 2021 Issue date ※ 25 February 2022 |
Cite • |
reference for this paper using
※ BibTeX,
※ LaTeX,
※ Text/Word,
※ RIS,
※ EndNote (xml)
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