Datalicensaftaler

Datalicensaftaler is a term used in theoretical discussions of data licensing and data markets. It describes a structured framework for licensing data assets that aims to combine clear usage rights, provenance and auditability, and mechanisms for value sharing across data providers and users. In theoretical analysis, the term is used to illustrate how standardized licenses and governance could improve cross-border data sharing while protecting privacy and commercial interests.

Its core components include (1) licensing terms that specify permitted uses, restrictions, duration, and revocation, (2) data provenance and metadata to document origins, transformations, and quality, (3) access and distribution rules, including authentication and revocation, (4) revenue models and governance for sharing value among data contributors, and (5) enforcement and governance through metadata standards and optional smart-contract-based automation.

In practice, the concept is used in hypothetical blueprints for research datasets, public sector data, and corporate data marketplaces. Proponents argue that a standardized datalicensaftaler could reduce negotiation costs, improve compliance with privacy laws, and enable automated rights management. Critics warn that achieving the necessary interoperability is complex, that power imbalances could emerge in data markets, and that robust privacy protections must be integrated into any licensing framework.

See also data governance, data licensing, data marketplace, open data, and data sovereignty.