The relationship between resting-state electroencephalography (EEG) frontal alpha asymmetry (FAA) and individual differences has been investigated for decades, during which time a plethora of methods have been used to quantify and analyse FAA. Recently, the relationship between resting-state FAA and motivation, personality, and psychopathology has been questioned. I utilised a large open-source dataset containing resting-state EEG data, several questionnaires related to emotional, motivational and personality traits, and extensive documentation of demographics to investigate the relationship between resting-state EEG and motivational and personality traits. I found no relationship between resting-state FAA and personality traits in healthy participants. Results indicated that younger adults (20 – 35 years) exhibited increased relative left-frontal activity compared with older adults (59 – 77 years), but only for FAA measured at the F4 and F3 electrode sites. Several previous studies have raised concerns regarding the lack of consistency and poor replicability within frontal asymmetry research. Utilising open-source data allows for increased transparency, the ability to reproduce previous analyses, the development of robust analysis processes, increased statistical power, and the generation of novel research questions. The field may benefit from utilising open-source data to increase reliability and reproducibility.