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AUTHORS

W. De Nolf, L. Huder, O. Svensson, H. Payno and I. Koumoutsos. ESRF.

REFERENCES

[1] https:/ewoks.esrf.fr [2] https:/data.esrf.fr/ [3] https:/ www.go-fair.org [4] https:/streamline.esrf.fr.

by the DAU team, who work closely with the beamlines to deliver the most efficient data-processing experience possible.

Due to its high flexibility, EWOKS can interact with BLISS, the ESRF beamline data acquisition system. This makes it possible to trigger workflows as soon as the data are acquired, opening a whole range of perspectives as the acquired data can be processed and reduced automatically, without any input from the user. EWOKS workflows are currently in operation on 17 beamlines at the ESRF, with eight more beamlines planned by mid- 2024, including tomography, scattering, spectroscopy and macromolecular crystallography beamlines. In the latter case, workflows are not only used for processing but to automatically pilot the beamline, testifying to the robustness of EWOKS.

Fig. 135: EWOKS web editor with a loaded workflow.

EWOKS also plays an important role in making data processing reproducible. The triggered workflows can be easily saved and reused by users who want to reprocess data independently at home. Once saved, workflows can also serve as a data-provenance document for scientific publications to describe the data reduction process. EWOKS can also automatically upload processed data to the ESRF data portal [2], to make results Findable, Accessible, Interoperable and Reusable (FAIR) by other users [3]. Moreover, users will soon be able to launch EWOKS workflows from the Data Portal to process or reprocess data with a single click.

EWOKS is partly funded by STREAMLINE, a Horizon2020- funded project that will complement the ESRF-EBS upgrade by enhancing user operation through new procedures and systems [4].