Enhancing FAIRdata by providing digital workflows from data generation to the publication of data: an open source approach described for cyclic voltammetry

Chem. Sci., 2025, 16,4430-4441
DOI: 10.1039/D4SC08620A, Edge Article

Open Access

&nbsp This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.

David Herrmann, Patrick Hodapp, Martin Starman, Pei-Chi Huang, Chia-Lin Lin, Lan B. Q. Le, Tillmann G. Fischer, Claudia Bizzarri, Philipp Röse, Niklas Oppel, Jochen Klar, Pierre Tremouilhac, Laura Holzhauer, Sonja Herres-Pawlis, Alexander Hoffmann, Tobias Seitz, Alrik Dorn, Kirsten Zeitler, Nicole Jung, Stefan Bräse
The generation of FAIR data in experimental sciences, e.g. for cyclic voltammetry datasets, involves multiple steps, including collecting data from devices, processing the data in an ELN environment, and publishing it in a repository.
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