Unlocking Data: A Matrix of Data-Sharing Regulation in the Age of AI

This article addresses the challenges in formulating data-sharing regulations by proposing a systematic regulatory matrix based on data characteristics. While data-driven innovation drives economic growth, existing legal frameworks in the EU are incoherent and often tend towards data propertisation, even if indirectly, which may lead to data underutilisation. The matrix is built on varied data characteristics, and it aims to foster access to data and data sharing as a fundamental general principle underpinning the data-driven innovation market. This framework offers a balanced regulatory scheme ranging from open access to proprietary models, aiming to maximise innovation and public good in the emerging field of data law.