Data lineage is a critical component of modern data governance, offering transparency and accountability across data lifecycles by tracking how data flows and transforms through systems, ultimately impacting analytics and decision-making processes. While runtime-based lineage, as supported by OpenLineage, captures active pipeline transformations in tools like Airflow and Spark, it often misses rarely executed or complex code paths. To address these gaps, extracting lineage directly from code using static analysis, as implemented by solutions like Foundational, is essential. Code-based lineage complements runtime lineage by providing a predictive view of potential data flows, which is crucial for regulatory compliance, data security, and confident refactoring. OpenLineage's introduction of "Static Lineage" allows for the integration of code-based lineage into its existing framework by using the Job object to represent code locations. This approach, while functional, invites further refinement, such as creating new facets for better representation and defining specific code annotations for enhanced insight. Collaborating with the OpenLineage community, Foundational aims to establish a unified standard that combines code-based and runtime lineage, ensuring comprehensive coverage of data pipelines to enhance trust, compliance, and operational efficiency in the data ecosystem.