The availability of FAIR data 1 is of importance for scientists, but also for the community as a whole. Currently, most of the data in experimental sciences is not generated, stored or published in a FAIR manner. Therefore, concepts to generate FAIR data are needed for an efficient strategy that facilitates the work of scientists and reduces the current burden of work with data. This means, in consequence, that novel methods for the full digital handling of data have to be established. Only if data is available in a digital, readable form at the earliest possible time point in the data life cycle, the concepts of FAIR data can be easily implemented. Steps towards a "FAIRer" generation and storage of the data provided by scientific instruments can be a) the improvement of accessibility of the data, b) the conversion of proprietary and non-standardized data to machine-readable and standardized data, c) the annotation of data with metadata and d) the provision of software to easily analyze the data and return the results in machine-readable and standardized formats. Dedicated LIMS (Laboratory and Information Management Systems) such as solutions from ThermoFisher 6 , Benchling , Agilent and many others or ELNs (Electronic Lab Notebooks) 9 such as eLabFTW , Labfolder 11 , eLabJournal (partial commercial) , and SciNote (partial commercial) can organize at least some aspects of the mentioned steps. Most of these systems can be used for different disciplines, and some of them also offer the option to systematically connect devices . Traditionally, for the chemical, biochemical and pharmaceutical industry, the need for functionality of a LIMS and ELN, i.e. the digital access to device information and the integration with the work documentation is very high. Many large companies in those areas invest in LIMS and ELN and benefit from a broad portfolio of tools to transfer and re-use data, while academic institutions and many small companies may lack the necessary finances to buy and maintain such systems. The implementation of open source solutions could be an option for those companies and academia with limited budgets, but systems that offer the broad spectrum of functionality, necessary for many use-cases, are still rare. In chemistry and biology, only few open source systems offer device integration and documentation functions, for example Chemotion and OpenBIS . To the best of our knowledge, the available systems so far only offer incomprehensive solutions, lacking at least one step in the typical workflow (compare Fig. ) that usually consists of (1) digital data acquisition, (2) data transfer from devices to an ELN (or any other digital work environment for documentation), (3) assignment of the data to the experiment/sample, (4) processing of the data to a readable and standardized file format, (5) extraction, completion and provision of metadata, (6) digital analysis of the data, and (7) the option publish the data and metadata to enable re-use. To overcome this situation, we elaborated several methods that can be combined to transfer data from devices to an ELN and to store these data along with different types of metadata in a FAIR manner. The methods used are designed in a flexible manner to allow its application to various measurement techniques and instruments. In this article, we describe the whole process with the example of cyclic voltammetry measurements.