BigQuery data clean room query templates are introduced to enhance secure data collaboration and analysis. These templates allow pre-defined, reusable SQL queries within secure environments. They limit data access and minimize risks of data breaches by restricting query types. This simplifies user onboarding, especially for those with limited technical SQL knowledge. Query templates promote consistent analytical results and standardized reporting workflows. Data owners and contributors design custom templates using table-valued functions. These templates support various data sharing scenarios, including single and collaborative directions. Owners of the data must approve templates accessing their data, maintaining control. Query templates enhance security, improve governance and streamline data analysis processes. The system provides consistent analytical outcomes, streamlined workflows, and flexible collaboration options. Through predefined queries, subscribers gain insights quickly, saving time and effort. The use of template-based queries ensures that sensitive data is not exposed.