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.
Cite
@article{arxiv.2010.12086,
title = {An Exercise in Open Data: Triple Axis Data on Si single crystal},
author = {Pavlo Baloh and Lukas Bauer and Anežka Bendová and Petr Čermák and Korbinian Fellner and Madhu Ghanathe and Octavio Emmanuel Hernández Alvarez and Štefan Hricov and Johanna K. Jochum and Liliia Kotvytska and Sonu Kumar and Ankit Labh and Petr Machovec and Brian R. Pauw and Klaudie Ramszová and Erik Walz and Peter Wild},
journal= {arXiv preprint arXiv:2010.12086},
year = {2022}
}