Predictions could be more reliable if the materials function of interest was determined exclusively by the bulk properties of the material. However, when the material's function is affected, or even governed by interfacial and kinetic phenomena, such as in case of batteries, sensors, biophysical applications or catalysis, the relationships between the materials parameters and the function become extremely complex. On the one hand, this is caused by the strong influence of defects and minor impurities. On the other hand, the material properties respond to the fluctuating chemical potential of the environment in which they are used. This gives metadata such as the sequence of experimental steps and the time frame a particular importance. 5 In order to make experimental data useful for a digital analysis, the measurements have to follow socalled "standard operating procedures" (SOPs), as is already common practice in some research areas. An important cornerstone for such workflows is the introduction of certified standards that enables the direct evaluation of measured data when they are published together with the results of the standard. Awareness of the need for rigorous work and standardization of experiments has grown considerably in academic research in recent times and it is reflected in initiatives for standardized measurement procedures and test protocols (Reference 4 and references cited therein).