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Data Lineage

What is Data Lineage?

The tracking and documentation of the origin, transformations, and movement of data throughout its lifecycle. Data lineage is essential for AI governance, regulatory compliance, and troubleshooting data quality issues.

AI & Technology

Each of these is named in at least one of the same controls as data lineage. The number is how many controls name both.

What the standards actually require on data lineage

Requirements naming data lineage across 6 standards, quoted from the control text.

Document end-to-end data lineage from sources through transformations to consumers.

DMBOK-DI-02 · Data Lineage and Movement

Data lineage information is available, and the provenance and movement of sensitive data can be traced across the cloud environment.

CDMC-KC14 · Data Lineage

Data lineage and data flows are documented and maintained across the data supply chain.

DCAM-5.2 · Data Lineage and Flows

GS1 DATA SECURITY + INTEGRITY in supply chain data exchange. KEY PRINCIPLES: (1) DATA INTEGRITY - master data + EPCIS events + GDSN exchanges must be ACCURATE + COMPLETE + TIMELY + reflect true state of supply chain;

GS1-DataSecurity-Integrity-AccessControl · GS1 Data Security and Integrity in Exchange, Access Control and Tamper Evidence

HL7 FHIR Audit + Provenance + Digital Signatures. AUDITEVENT LOGGING (FHIR-SEC-07 + FHIR-SEC-4.1) - FHIR AuditEvent Resource for structured audit logging + IETF RFC 3881 + IHE ATNA + DICOM Audit + comprehensive audit trail of: (a) authentication events;

HL7-FHIR-Audit-Provenance-DigitalSignatures-Integrity · HL7 FHIR Audit + Provenance + Digital Signatures + AuditEvent Resource + Audit Log Integrity + Retention

Data Management Plan (DMP) per ICH E6 + ICH E8(R1) (General Considerations for Clinical Studies) + ICH E9 (Statistical Principles): study database design + EDC system + data capture sources + data collection + data flow + database lock + transfer to statistics...

ICH-E6-DataMgmt-ExternalData-EHRs-RealWorldData-Coord-FDA-EMA · ICH E6 Data Management + External Data + EHR + Real-World Data + Coordination FDA + EMA + PMDA + ICH Family

Questions people ask about data lineage

What is Data Lineage?
The tracking and documentation of the origin, transformations, and movement of data throughout its lifecycle. Data lineage is essential for AI governance, regulatory compliance, and troubleshooting data quality issues.
Why is Data Lineage important for compliance?
Data Lineage is a key concept in AI & Technology. Understanding data lineage helps organizations meet regulatory requirements, reduce risk, and demonstrate due diligence during audits. Our compliance platform maps 686 frameworks with 311K cross-framework control mappings.
Which compliance frameworks address Data Lineage?
Data Lineage appears in the requirement text of DAMA-DMBOK2 - Data Management Body of Knowledge (2nd Edition), EDM Council CDMC - Cloud Data Management Capability Framework, EDM Council DCAM - Data Management Capability Assessment Model, GS1 Global Standards - Supply Chain Traceability and Data Security, HL7 FHIR Security Framework. Across these standards we have identified 6 controls that name it directly, each linked to the control text on the compliance platform.
Where can I learn more about Data Lineage?
Explore our compliance framework pages to see how data lineage applies across different standards and regulations. Our implementation guides provide step-by-step guidance, and the compliance platform offers AI-powered analysis of how this concept maps across 686 frameworks.

See how Data Lineage applies across compliance frameworks

Our platform maps 686 frameworks with 311K cross-framework control mappings. Explore how this concept is addressed across standards.

Written and maintained by Gerard Blokdyk, The Art of Service.