Data Ecosystem

The ensemble of structured and unstructured data assets, repositories, data flows, and related governance practices that enable the collection, storage, sharing, and use of data for AI training, validation, and deployment. It includes data sources, metadata, access controls, stewardship mechanisms, and interoperability arrangements across public and private stakeholders.

The collection, storage, sharing and governance arrangements of datasets used for AI, including metadata standards, stewardship practices, access controls, and data‑sharing agreements across public and private sectors to enable responsible data use.

The set of processes, actors, technical environments and governance arrangements that produce, store, share and steward data, including rules for interoperability, privacy, and stewardship across public and private sectors. The report frames data ecosystems as foundational to service delivery, digital identity and compliant 4IR pilots.

Denotes the collection of data repositories, standards, sharing mechanisms and related resources that support AI development and deployment, including structured, machine-readable datasets and language resources (e.g., Latvian-language corpora) for NLP and model training.