The dataset is maintained by the State Data Agency and is based on data from the State Patent Bureau of Lithuania, which manages the national trademark register. 

It includes trademark records accumulated since 1991 and continuously updated, offering a long-term view of trademark activity in the country. 

Rather than being a single flat dataset, it is structured into several interconnected components. One part contains the main trademark records, while others describe associated persons (e.g. owners or representatives) and classification systems such as Nice (goods and services) and Vienna (visual classification). 

This modular structure supports relational analysis, enabling users to explore links between trademarks, industries, and classification categories.

The data is distributed in a range of machine-readable formats including CSV, JSON, JSONL, and RDF, and is accessible via API endpoints, making it suitable for integration into data platforms and analytical workflows. 

As an open dataset under the CC BY 4.0 license and updated on a daily basis, it is suitable for both research and commercial applications.