Data Provenance

Data provenance, the ability to trace the origin and transformations of data, is crucial for ensuring data quality, accountability, and trustworthiness across diverse applications. Current research focuses on developing robust methods for tracking provenance in various data types, including text, images, and code, often employing techniques like watermarking, blockchain technologies, and graph neural networks to enhance traceability and security. This field is vital for addressing challenges in areas such as AI model transparency, copyright protection, and scientific reproducibility, ultimately fostering greater trust and reliability in data-driven systems.