Recording high-quality electroencephalographic (EEG) data is fundamental for achieving reliable results in research and clinical applications. However, the EEG signal is highly vulnerable to various artifacts that can arise from physiological sources, such as eye blinks, muscle activity, and cardiac rhythms. In addition, environmental and technical influences, including electrode impedance, cable movement, or electromagnetic interference, can negatively influence the signal. This chapter offers a comprehensive overview of approaches to minimize such artifacts during data acquisition. Central considerations include optimal preparation of the electrodes, lowering the impedance values on the participant’s head, as well as maintaining consistent recording conditions. Understanding the source of artifacts, executing preventive measures, and being able to detect different kinds of artifacts as they occur are often more effective than relying only on post-processing corrections. This chapter serves as a practical guide to recording clean data for more effective and reliable analysis.