# LSOPS09-BP01 Track data ownership and lineage over the life of the project
<a name="lsops09-bp01"></a>

 Data lineage in life sciences projects involves tracking the origin, movement, and transformation of data throughout its lifecycle. This process is important because it provides a clear history of how data has been collected, processed, and used. Maintaining accurate data lineage improves data integrity, aids in troubleshooting errors, and supports regulatory adherence. It also allows researchers and regulators to understand and trust the data's journey from its source to final analysis, which is critical for validating research findings and meeting stringent industry standards. 

 **Desired outcome:** Have a clear, auditable history of data lineage. 

 **Level of risk exposed if this best practice is not established:** High 

## Implementation guidance
<a name="implementation-guidance"></a>

 Use data sharing and management tooling that includes audit history of access and changes and allows for granular permissions. 

### Implementation steps
<a name="implementation-steps"></a>

1.  Set up an Amazon DataZone or Amazon SageMaker AI Unified Studio domain and related projects: 
+  Create a business domain for life sciences data. 
+  Configure projects and data catalogs. 
+  Set up user roles and access controls. 

1.  Enable  automatic lineage tracking: 
+  Use Amazon DataZone or Amazon SageMaker AI Unified Studio lineage capabilities. 
+  Connect to data sources (like Amazon S3 or Amazon RDS). 
+  Use built-in metadata collection. 

1.  Implement governance: 
+  Use DataZone or SageMaker AI Unified Studio data sharing workflows. 
+  Configure approval processes. 
+  Set up automatic data classification. 

## Resources
<a name="resources"></a>

 **Related documents:** 
+  [Data lineage in Amazon DataZone](https://docs.aws.amazon.com/datazone/latest/userguide/datazone-data-lineage.html) 
+  [Best practice 4.5 – Track data and database changes](https://docs.aws.amazon.com/wellarchitected/latest/analytics-lens/best-practice-4.5-track-data-and-database-changes..html) 

 **Related tools:** 
+  [Amazon DataZone](https://aws.amazon.com/datazone/) 
+  [Amazon SageMaker AI Unified Studio](https://aws.amazon.com/sagemaker/unified-studio/)