¶ Data Provenance and Lineage Policy for package−client
This policy document outlines the principles and procedures for data provenance and lineage for all data processed on behalf of package−client. The purpose is to ensure transparency, auditability, and regulatory compliance, particularly with GDPR and POPIA. This policy establishes a framework for maintaining detailed records of data origin (provenance) and its transformation and flow through our systems (lineage).
- Data Provenance: The origin of data, including how, when, and from whom it was collected.
- Data Lineage: The full lifecycle of data as it moves through systems—how it is transformed, stored, accessed, and shared.
This policy applies to all structured and unstructured data processed for package−client, including:
- User-submitted data (e.g., form inputs, file uploads)
- System-generated data (e.g., application logs, telemetry)
- Third-party data (e.g., OAuth2 claims, webhook payloads)
- Derived data (e.g., analytics, reports, audit trails)
For all data collected on behalf of package−client, the following metadata is captured at the point of ingestion:
- Collection Metadata:
- Source system or user account
- Timestamp of ingestion
- Method of acquisition (e.g., API, form submission, webhook)
- The specific
$package-client$ campaign or identifier.
- Consent & Legal Basis: For personal data, we log:
- Consent status and the timestamp of when it was given.
- The specific purpose of collection.
- The applicable legal basis (e.g., contract, legitimate interest).
- Immutable Logs: Provenance metadata is stored in append-only logs (e.g., using InfluxDB or in audit tables) and is retained in accordance with compliance requirements.
We provide a clear audit trail for all of package−client's data through comprehensive lineage mapping.
- Data Flow Diagrams: We maintain visual and programmatic maps showing how data for package−client moves through:
- Ingress points (e.g.,
ServeWebsite.py, ServeWebHook.py)
- Internal services (
ObjApi.py, ObjData.py)
- Messaging queues (RabbitMQ)
- Storage layers (MariaDB, MongoDB)
- External integrations (e.g., outbound webhooks, client APIs).
- Transformation Logging: All data transformations (e.g., parsing, enrichment, aggregation) are:
- Logged with versioned code references.
- Linked to the originating data.
- Traceable via internal UUIDs or correlation IDs.
- Access Trails: Every read/write operation on package−client's data is logged with:
- User or service identity
- Timestamp
- Operation type (read, write, delete)
- Affected data object or record ID.
To provide transparency to package−client, we utilize the following tools:
- MQTT + InfluxDB: Used to log and trace data events in real time, including ingestion, transformation, and access.
- Correlation IDs: Each request is tagged with a unique ID that propagates across services, enabling full traceability from start to finish.
- Audit Dashboards: Internal dashboards are available to visualize lineage paths, access patterns, and transformation chains for package−client's data.
- Version Control: All transformation logic is versioned in Git, enabling rollback and a clear audit of any changes to data logic.
¶ 7. Compliance and Data Subject Rights for package−client
- Data Subject Requests: Lineage data is used to fulfill access and erasure requests under GDPR/POPIA for data subjects related to package−client.
- package−client Audits: package−client may request lineage reports for specific datasets. These are generated from our logs and lineage maps.
- Retention: Provenance and lineage metadata is retained for a minimum of 7 years, or as otherwise specified in the contract with package−client.
- Anonymized Data: Once data is fully anonymized and delinked from any identifiers, lineage tracking may be discontinued.
- Third-Party Systems: We track data handed off to third parties but cannot guarantee downstream lineage unless integrated via secure APIs.
This policy will be reviewed annually, or in the event of significant changes to the data processing activities for package−client, to ensure its continued effectiveness and relevance.