A **data asset** is any collection of [[Data|data]] that has recognized value to an individual, organization, or system and can be managed, used, or exchanged to achieve a specific purpose. Data assets may take many forms, including [[Database|databases]], [[Data file|data files]], [[Application programming interface|APIs]], [[Data feed|data feeds]], [[Report|reports]], [[Metadata|metadata]], and [[Algorithm|algorithms]], and are typically treated as organizational resources subject to [[Data governance|data governance]] and [[Asset management|asset management]] practices. The concept emerges from the broader recognition that data constitutes a form of [[Intangible asset|intangible asset]] with measurable business value. Data assets are distinguished from raw or incidental data by their organization, accessibility, and perceived utility. Organizations catalogue data assets within [[Data catalog|data catalogs]] and manage them through frameworks such as the [[Data management|Data Management Body of Knowledge]] (DMBOK) and the [[Data Management Association|DAMA]] guidelines. The value of a data asset is often assessed in terms of its [[Data quality|quality]], completeness, timeliness, and relevance to business processes, with high-value data assets frequently protected under [[Information security|information security]] policies and [[Data privacy|data privacy]] regulations such as the [[General Data Protection Regulation]] (GDPR). The growing importance of data assets reflects the shift toward [[Data-driven decision-making|data-driven decision-making]] in modern enterprises. In the context of [[Data product|data products]] and [[Data mesh|data mesh]] architectures, data assets are treated as discrete, reusable components that can be published, discovered, and consumed across organizational boundaries. [[Data monetization|Data monetization]] strategies further treat data assets as sources of direct or indirect economic value, either through internal efficiency gains or through exchange in emerging [[Data marketplace|data marketplaces]]. The management of data assets increasingly overlaps with disciplines including [[Data architecture|data architecture]], [[Master data management|master data management]], and [[Artificial intelligence|AI]] pipeline development.