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DATA MANAGEMENT

Purpose of This Section

The Data Management section defines how NWAF™ handles, stores, protects and uses data across the governance system. It ensures that data is:

  • accurate

  • secure

  • accessible

  • legally compliant

  • ethically managed

  • used to support governance decisions

Data Management protects users, organisations and the integrity of the NWAF™ Governance Framework.

1. Data Management Principles

1.1 Accuracy

Data must be correct, up‑to‑date and verified.

1.2 Security

Data must be protected from unauthorised access, loss or misuse.

1.3 Accessibility

Data must be accessible to authorised users, including disabled people using assistive technologies.

1.4 Transparency

Data handling processes must be documented, traceable and visible to relevant roles.

1.5 Legal Compliance

Data must be managed in line with legislation, regulatory expectations and tribunal standards.

1.6 Ethical Use

Data must be used responsibly, fairly and with respect for user rights.

1.7 Founder Authority

Strategic data decisions require Founder approval.

2. Types of Data Managed by NWAF™

NWAF™ may handle the following data types:

2.1 Governance Data

Content, processes, version control and governance records.

2.2 User Data

Information provided by users during engagement, feedback or participation.

2.3 Organisational Data

Information shared by organisations applying NWAF™ governance.

2.4 Accessibility Data

Insights related to accessibility, usability and inclusive design.

2.5 Performance Data

Metrics used for monitoring, reporting and improvement.

2.6 Audit & Compliance Data

Records from audits, reviews and compliance checks.

3. Data Management Activities

Data Management includes:

  • data collection

  • data storage

  • data access control

  • data accuracy checks

  • data security measures

  • data retention and deletion

  • data sharing protocols

  • data reporting

  • data protection compliance

All activities must follow NWAF™ governance and legal standards.

4. Data Management Process

All data must follow this structured process:

  1. Identify data purpose

  2. Collect data ethically and legally

  3. Store data securely

  4. Control access based on role

  5. Verify data accuracy

  6. Use data to support governance decisions

  7. Retain or delete data according to policy

  8. Record data handling in version control

  9. Communicate data use where required

This ensures data is managed safely, responsibly and transparently.

5. Data Security Requirements

Data must be protected through:

  • secure storage systems

  • access controls

  • encryption where appropriate

  • regular security reviews

  • compliance with legal standards

  • monitoring for risks or breaches

Any suspected data breach must be escalated immediately.

6. Roles & Responsibilities

6.1 Founder

  • Approves strategic data decisions

  • Sets data management expectations

  • Ensures alignment with NWAF™ vision

6.2 Oversight

  • Leads data governance

  • Monitors data accuracy and security

  • Produces data reports

  • Escalates risks or breaches

6.3 Leads

  • Manage data within their domain

  • Ensure accuracy and compliance

  • Support data‑driven decisions

6.4 Organisations

  • Apply data management requirements

  • Protect user data

  • Report data issues or breaches

6.5 Users

  • Provide accurate information

  • Report concerns about data use

  • Engage with data processes where relevant

7. Why Data Management Matters

Data Management:

  • protects users and organisations

  • supports legal and accessibility compliance

  • strengthens governance maturity

  • ensures decisions are evidence‑based

  • maintains trust and transparency

  • reinforces Founder‑led integrity

  • safeguards the long‑term stability of NWAF™

Data is the foundation of a national‑grade governance system.

Version Information

  • Version: 1.0

  • Status: Published

  • Approved by: Founder

  • Last Updated: 18 February 2026

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