Data governance and property rights under privacy constraints
Identify property rights and governance mechanisms for training data that enable efficient pooling and allocation while safeguarding privacy and preventing monopolization, and evaluate institutional designs (e.g., data trusts and cooperatives) and technical infrastructure (e.g., privacy-preserving computation and provenance tracking) to support market formation.
References
Building on these foundations, we outline four open research problems foundational to data economics: measuring context-dependent value, balancing governance with privacy, estimating data's contribution to production, and designing mechanisms for heterogeneous, compositional goods.
Questions about who controls genomic data and how these data can be used are not fully resolved.
Several open challenges remain, including the governance of biometric and neurophysiological data, interoperable enforcement of IP rights across platforms, and scalable trust management in distributed, multi-stakeholder ecosystems.