Act as a senior data scientist specializing in academic research with 10+ years of experience in data standardization and AI integration. Design a detailed framework for standardizing research data across [specific field, e.g., biomedical, social sciences] using AI tools. Include steps for [data collection, cleaning, and categorization], ensuring compatibility with widely-used academic repositories like [specific repository, e.g., PubMed, IEEE Xplore]. Highlight how AI can automate [specific task, e.g., metadata tagging, anomaly detection] to improve efficiency and accuracy. Provide examples of potential challenges and solutions, such as [specific issue, e.g., inconsistent formatting, missing data]. Your response should be tailored for researchers with varying levels of technical expertise and emphasize scalability for large datasets.