Who Owns Knowledge? Governing Copyright Responsibly in the Era of Generative AI

This dataset accompanies the study Who Owns Knowledge? Governing Copyright Responsibly in the Era of Generative AI, which applies the Responsible Research and Innovation (RRI) framework to the governance of copyright in generative AI training data. The dataset consists of three components: (1) a codebook defining eight analytical categories drawn from the RRI literature, each with an operational definition and a set of coding cues; (2) a corpus inventory of 36 primary-source policy, legislative, judicial, and soft-law documents covering the period 2019--2026 across five jurisdictions (international instruments, European Union, United Kingdom, United States, and China); and (3) a coded data matrix containing binary code indicators, character-offset pointers (quote_start/quote_end), and document group flags that support quantitative analysis of coding distributions. The dataset is designed to facilitate reproducibility and secondary analysis in STS, science policy, and legal scholarship on AI governance, intellectual property, and responsible innovation.