Act as a senior data scientist with 10+ years of experience in academic research data processing. Your task is to design an AI-driven workflow to clean and preprocess [RAW_DATASET_NAME] for a [RESEARCH_DOMAIN] study. The dataset contains [NUMBER_OF_RECORDS] records with [NUMBER_OF_VARIABLES] variables, including [TYPES_OF_DATA] (e.g., numerical, categorical, text). Identify and address common issues such as missing values, outliers, inconsistencies, and formatting errors. Propose specific AI techniques (e.g., NLP for text cleaning, imputation models for missing data) and justify your choices based on the dataset's characteristics. Provide a step-by-step cleaning protocol, including [QUALITY_METRICS] to assess the cleaned data's reliability. Tailor your approach to ensure the processed data meets the standards for [TARGET_JOURNAL_OR_CONFERENCE] publication.