An Exercise in Open Data: Triple Axis Data on Si single crystal
Pavlo Baloh, Lukas Bauer, Ane\v{z}ka Bendov\'a, Petr \v{C}erm\'ak,, Korbinian Fellner, Madhu Ghanathe, Octavio Emmanuel Hern\'andez Alvarez,, \v{S}tefan Hricov, Johanna K. Jochum, Liliia Kotvytska, Sonu Kumar, Ankit, Labh, Petr Machovec, Brian R. Pauw, Klaudie Ramszov\'a

TL;DR
This paper demonstrates how to apply the F.A.I.R.+T. principles to open and evaluate triple axis neutron scattering data on a silicon single crystal, emphasizing transparency and data reuse.
Contribution
It presents a methodology for extracting, evaluating, and publishing scientific data following the F.A.I.R.+T. principles, using publicly available neutron scattering data.
Findings
Successful application of F.A.I.R.+T. principles to neutron scattering data
Enhanced transparency and reproducibility in data evaluation
Open data facilitates scientific collaboration and validation
Abstract
Efforts are rising in opening up science by making data more transparent and more easily available, including the data reduction and evaluation procedures and code. A strong foundation for this is the F.A.I.R. principle, building on Findability, Accessibility, Interoperability, and Reuse of digital assets, complemented by the letter T for trustworthyness of the data. Here, we have used data, which was made available by the Institute Laue-Langevin and can be identified using a DOI, to follow the F.A.I.R.+T. principle in extracting, evaluating and publishing triple axis data, recorded at IN3.
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Taxonomy
TopicsAdvanced Electron Microscopy Techniques and Applications · Electron and X-Ray Spectroscopy Techniques · Machine Learning in Materials Science
