This work describes methods for a "FAIRer" handling of research data using cyclic voltammetry as an example. The suggested procedure includes concepts, software and infrastructure that can be used to support at all stages of the data life cycle -from the initial collection of data to the publication of data and metadata in repositories. In summary, our workflow includes digital data acquisition, the data transfer from devices to an ELN, the assignment of the data to the experiment/sample, the processing of the data into a readable and standardized file format, the extraction, completion and provision of metadata, the digital analysis of the data, and the option to allow for re-use of the full set of data and metadata in other systems by data publishing in repositories. We demonstrated the potential of the described processes to improve the transparency, reproducibility and re-usability of cyclic voltammetry (CV) data. The described approach provides a harmonized set of data and metadata, even if the measurements are performed using devices from different vendors and/or at different locations, due to the application of standard data formats and metadata schemes. The approach was finalized by transferring the data and metadata, obtained by different scientific groups, from the ELN Chemotion to different repositories. The methods described for cyclic voltammetry can be adapted and used for other