The field of biometrics research is growing in importance in the modern world. Advancements in biometric techniques change everyday life: from face or fingerprint unlock for smartphones to iris recognition for advanced security systems. To continue the rapid growth of this research field, it is necessary to identify and utilise new data sources which might further accelerate or improve development. This thesis focuses on the investigation and development of a novel dataset of facial images, which would open a new data source for new initiatives. The impact of the proposed dataset on face-related biometric techniques, such as Face Age Estimation or Face Age Progression, will be evaluated. While the data collection and evaluation presents the core of this thesis, ethical and legal considerations will also be noted to ensure that a scalable dataset is presented for future researchers.