The Data Acquisition and Preparation Process focuses on collecting raw data from clients or external sources and preparing it for downstream annotation workflows. Data preparation includes activities such as formatting datasets into compatible structures, normalizing values to ensure consistency across inputs, and anonymizing sensitive information to comply with privacy standards. The result of this process is a structured and pre-processed dataset ready for annotation, ensuring that subsequent workflows operate efficiently and accurately.