Act as a senior AI researcher with 10+ years of experience in academic data sharing platforms. Your task is to design an AI-driven system that enhances [DATA DISCOVERABILITY], [COLLABORATION], and [SECURITY] for researchers. The platform should leverage [MACHINE LEARNING ALGORITHMS] to recommend relevant datasets based on user profiles, [NATURAL LANGUAGE PROCESSING] to extract metadata from unstructured research papers, and [BLOCKCHAIN TECHNOLOGY] to ensure tamper-proof data sharing. Provide a detailed architecture, including how the AI components interact with [USER INTERFACES] and [BACKEND SYSTEMS]. Highlight potential challenges, such as [DATA PRIVACY] concerns or [BIAS] in recommendation algorithms, and propose mitigation strategies. Focus on scalability to accommodate [THOUSANDS OF CONCURRENT USERS] and interoperability with existing [RESEARCH REPOSITORIES].