Data Management Plan Template PDF

INSTITUTIONAL DATA MANAGEMENT PLAN (DMP) TEMPLATE

Operational Standards & Compliance Architecture

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1. EXECUTIVE SUMMARY & PURPOSE

This document establishes the mandatory institutional framework for the lifecycle management, security, retention, and disposition of organizational data assets. Adherence to this Data Management Plan (DMP) is required for all business units, research initiatives, and operational systems handling institutional data.

Non-compliance exposes the institution to severe legal, financial, and regulatory liabilities. This template governs the transition of raw data ingestion to secure archiving or certified destruction.

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2. ADMINISTRATIVE METADATA

+------------------------------------------------------------------------+
| 2.1 PROJECT / INITIATIVE IDENTIFICATION                                |
+------------------------------------------------------------------------+
| Project Title:          [Insert Project or Department Name]            |
| Principal Owner:        [Insert Name, Title, Department]               |
| Technical Lead:         [Insert System Architect / Data Engineer Name] |
| Data Protection Officer:[Insert DPO Contact Information]               |
| Funding / Cost Center:  [Insert Financial Code / Grant ID]             |
| DMP Version & Date:     v4.2.0 // [Insert Date]                        |
+------------------------------------------------------------------------+

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3. DATA DESCRIPTION & CLASSIFICATION

All institutional data must be inventoried and classified upon creation or ingestion.

3.1 Data Types & Formats

• Quantitative Data: [e.g., Structured SQL databases, CSV exports, telemetry logs]
• Qualitative Data: [e.g., Audio transcripts, unstructured text documents, survey responses]
• Proprietary Assets: [e.g., Algorithmic models, trade secrets, source code]

3.2 Data Classification Matrix

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4. STORAGE, BACKUP, AND INFRASTRUCTURE ARCHITECTURE

4.1 Storage Architecture

• Primary Storage: [e.g., AWS S3 Encrypted Bucket, On-Premises SAN]
• Active Working Directory: [e.g., Secure cloud workspace with automated version control]
• Capacity Allocation: [e.g., 5TB initial allocation with auto-scaling up to 20TB]

4.2 Backup and Disaster Recovery Protocols

• Backup Frequency: Incremental backups every 24 hours; full system backups weekly.
• Redundancy Standard: Geographic replication across at least two distinct availability zones (e.g., us-east-1 and us-west-2).
• Recovery Time Objective (RTO): < 4 Hours
• Recovery Point Objective (RPO): < 1 Hour

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5. ETHICS, LEGAL, AND COMPLIANCE OBLIGATIONS

5.1 Regulatory Frameworks

Select all applicable regulatory frameworks governing the managed data:

• GDPR (General Data Protection Regulation - EU)
• CCPA / CPRA (California Consumer Privacy Act)
• HIPAA (Health Insurance Portability and Accountability Act)
• FERPA (Family Educational Rights and Privacy Act)
• PCI-DSS (Payment Card Industry Data Security Standard)

5.2 Consent, Anonymization, and Rights Management

• Consent Mechanisms: Explicit, opt-in consent must be captured, timestamped, and stored in the central audit ledger prior to data ingestion.
• De-identification Protocol: Personally Identifiable Information (PII) must be pseudonymized or anonymized using NIST-compliant hashing algorithms within [X] days of collection.
• Data Subject Access Requests (DSAR): The system must support automated extraction and deletion of subject data within 30 days of receiving a formal request.

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6. ACCESS CONTROLS, SECURITY, AND SHARING

6.1 Access Governance

• Principle of Least Privilege (PoLP): Access is restricted strictly to personnel with a verified operational necessity.
• Authentication: Mandatory Multi-Factor Authentication (MFA) via institutional Single Sign-On (SSO).
• Role-Based Access Control (RBAC): Access matrices must be reviewed and certified by the Data Owner on a quarterly basis.

6.2 Data Sharing & Transfer Protocols

• Internal Sharing: Executed via secure internal network pathways with access logging enabled.
• External Sharing: Requires a signed Data Use Agreement (DUA) or Non-Disclosure Agreement (NDA). All files transmitted externally must use end-to-end encryption (e.g., PGP, secure SFTP).

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7. DATA RETENTION AND DISPOSITION SCHEDULE

Data must not be retained indefinitely. It must be systematically archived or destroyed in accordance with institutional policy.

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8. IMPLEMENTATION CHECKLIST

• Data classification completed and logged in the institutional registry.
• Storage infrastructure provisioned with required encryption standards (AES-256).
• Access control lists (ACLs) and RBAC roles configured and tested.
• Backup and disaster recovery automation verified via dry run.
• Privacy policies, consent forms, and regulatory notices approved by Legal/Compliance.
• Data retention triggers programmed into the data lifecycle management system.

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9. SIGN-OFF AND APPROVAL

By signing below, the designated stakeholders verify that this Data Management Plan meets all operational, security, and legal compliance standards of the institution.

Principal Data Owner:
Signature: ___________________________ Date: ______________
Printed Name: [Insert Name]

Chief Compliance Officer / DPO:
Signature: ___________________________ Date: ______________
Printed Name: [Insert Name]

Lead Systems Architect:
Signature: ___________________________ Date: ______________
Printed Name: [Insert Name]