Data Management Plan Dmp Example

Standard Operating Procedure: Data Management Plan (DMP) Lifecycle

Template Registry Engineering Operations

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1. Document Control Block

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2. Executive Summary & Purpose

The objective of this SOP is to standardize the generation, validation, and maintenance of Data Management Plans (DMPs). A compliant DMP ensures data integrity, long-term accessibility, security compliance (GDPR/SOC2), and reproducibility across the Template Registry stack.

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3. Scope & Prerequisites

• Scope: All datasets generated, stored, or processed within Template Registry infrastructure.
• Prerequisites:
  • Access to centralized repository (Git/Confluence).
  • Approval from Data Governance Committee for PII/Sensitive data handling.
  • Software: DMPTool, JSON/YAML schemas, Encryption management CLI (e.g., HashiCorp Vault).

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4. Roles & Responsibilities (RACI)

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5. Step-by-Step Procedure

Phase 1: Planning and Scoping

• Define the data lifecycle (creation, ingest, storage, archiving, deletion).
• Determine metadata standards (e.g., Dublin Core, custom JSON schema).
• Identify storage tier (Hot, Warm, Cold) based on retrieval SLAs.

Phase 2: Creation of DMP Artifact

• Execute dmptool-init to generate the baseline JSON structure.
• Populate sections: Data Description, Ethical/Legal constraints, Access & Sharing, Archiving.
• Define encryption-at-rest and in-transit protocols.

Phase 3: Validation and Integration

• Submit DMP draft to the Compliance Officer for initial review.
• Validate schema integrity via validate-dmp-schema --file=dmp_v1.json.
• Deploy finalized schema to the Registry metadata catalog.

Phase 4: Maintenance and Auditing

• Trigger bi-annual review cycle via automated Jira ticket.
• Perform integrity audit: ensure metadata pointers match actual physical storage blobs.

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6. Quality Assurance & Pro-Tips

• Metric Thresholds: All DMPs must have 100% field coverage for mandated compliance headers. Any data drift (>5%) between metadata and physical storage triggers an automatic incident response.
• Pro-Tip: Utilize YAML-based templates to automate the insertion of standardized security policies; avoid manual text entry to prevent human error.
• Common Pitfall: Failing to define the "End of Life" (deletion criteria). Always define a clear TTL (Time-to-Live) for all data assets.

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7. Frequently Asked Questions

Q: How often should the DMP be updated? A: A DMP is a living document. It must be updated whenever the underlying infrastructure architecture changes or if the data classification level changes (e.g., non-PII becoming PII).

Q: Where is the source of truth for current DMPs? A: All validated DMPs are stored in the /registry/dmp-catalog/ repository. Any version outside this directory is considered deprecated/unofficial.

Q: What do I do if data ingestion fails the validation schema? A: Halt the ingestion process immediately. Consult the Error Log generated by the validation CLI and verify the schema version against the project’s specific requirements.

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End of Document Authorized by: Julian Vance, Chief Architect