Data Act AI Governance Self-Assessment

Assess the Maturity of Your Data Act Governance — AIGN Data Act Framework

Is your organization ready to demonstrate responsible, compliant, and scalable data governance — for every user, contract, and connected system?

The AIGN Data Act AI Governance Self-Assessment offers companies, public bodies, and data platforms a fast, confidential, and actionable way to benchmark their Data Act maturity — without legal jargon, consulting fees, or complexity. Map your strengths, get instant feedback, and unlock your next steps to trusted, certifiable data and AI.

No registration. No data transfer. 100% privacy by design.

About the AIGN Data Act AI Governance Framework

The AIGN Data Act AI Governance Framework is purpose-built to empower organizations of all sizes to operationalize the EU Data Act, GDPR, and related standards — making data access, user rights, and contractual fairness measurable and certifiable. Aligned with the EU Data Act, Data Governance Act (DGA), ISO/IEC 42001, OECD AI Principles, and NIST RMF, the framework transforms legal complexity into practical, ready-to-use tools, templates, and self-assessments.

No endless paperwork. No “tick-box” compliance. Just real steps to make trust, compliance, and interoperability a core part of your digital business model — from SMEs to enterprises, B2B platforms to public authorities.

Why Use the AIGN Data Act Self-Assessment?

• Compliance-Ready: Assess your governance maturity in under 10 minutes — designed for real business, technical, and public sector teams.
• Immediate Feedback: Receive a clear maturity score and actionable recommendations based directly on Data Act obligations.
• All-in-One Coverage: Covers all key requirements — Data Act, DGA, GDPR, and international standards.
• Privacy by Design: All answers remain local; no data leaves your device.
• Actionable Roadmap: Instantly see where you stand and what your next steps are for audit-proof, future-ready governance.

How It Works

For each question, select the score that best reflects your current practice — from 1 (“not in place”) to 5 (“fully established and documented”).
Be honest: Only a real baseline unlocks trusted compliance, market access, and certification.

Ready to get started?

Begin your self-assessment now and discover your roadmap to responsible, resilient, and trust-based Data Act compliance.

AIGN Data Act Readiness Self-Assessment Based on the AIGN Data Act AI Governance Framework

Assess your Data Act compliance maturity across 5 core domains and 20 actionable indicators.
Benchmark your organization against the AIGN Data Act AI Governance Framework – operational, certifiable, and future-ready.
100% privacy by design—no data leaves your device.

1. Data Access & User Rights

1. Can users/clients/partners access and export their data in a standard, machine-readable format at any time? E.g. direct download, export API. Data Act Arts. 4, 23.

1 2 3 4 5

2. Is every access, sharing, or deletion of data automatically logged and audit-ready? Includes user identity, action, timestamp. Data Act Art. 23–24.

1 2 3 4 5

3. Are users empowered to manage, grant, or revoke sharing permissions granularly and transparently? E.g. consent dashboards, opt-in/opt-out logic. Data Act Art. 4, 13.

1 2 3 4 5

4. Are data deletion, correction, and redress processes available and technically enforced? Includes full or partial deletion, correction requests, proof of erasure. Data Act Art. 4.

1 2 3 4 5

2. Contractual Fairness & Interoperability

5. Are all data access and sharing contracts reviewed for fairness, transparency, and non-discrimination? Standard clause templates, checklist. Data Act Art. 13, 23.

1 2 3 4 5

6. Are data contracts versioned, digitally signed, and stored for audit/review? Version log, retrievable for regulators. Data Act Art. 23–24.

1 2 3 4 5

7. Can users, partners, or authorities switch providers or transfer data easily (data portability)? Standard APIs, migration test, no lock-in. Data Act Art. 23–24.

1 2 3 4 5

8. Are all parties (incl. SMEs) able to understand and exercise their contractual rights? Clear language, multilingual support. Data Act Art. 13, 23.

1 2 3 4 5

3. Data Quality, Lineage & Security

9. Is every data source and transformation step documented (provenance, lineage, metadata)? Data lineage, metadata logs, audit trails. Data Act Art. 23–24.

1 2 3 4 5

10. Are data quality, completeness, and accuracy reviewed and updated regularly? Review checklists, audit logs. Data Act Art. 23–24.

1 2 3 4 5

11. Are technical and organizational security measures (access control, encryption, logging) in place? Secure environments, encryption standards. Data Act Art. 23–24.

1 2 3 4 5

12. Are privacy and confidentiality risks reviewed and documented regularly? Privacy impact assessments, breach logs. Data Act Art. 7.

1 2 3 4 5

4. Risk & Incident Management

13. Do you have a documented risk register for all data access, sharing, and automation activities? Risk mapping, AIGN Risk Tool. Data Act Art. 24.

1 2 3 4 5

14. Are all incidents (access violations, breaches, disputes) tracked, logged, and reviewed? Incident forms, escalation matrix. Data Act Art. 33.

1 2 3 4 5

15. Is there a tested escalation and notification process for incidents? Plan, notification workflow. Data Act Art. 33.

1 2 3 4 5

16. Are lessons learned from incidents systematically integrated into process improvements? Continuous improvement, peer learning. Data Act Art. 24.

1 2 3 4 5

5. Governance, Roles & Certification

17. Are roles and responsibilities (RACI) for data and AI governance formally documented? RACI chart, assignment logs. Data Act Art. 3, 4, 13.

1 2 3 4 5

18. Is there a regular review and update process for roles, responsibilities, and training? Annual review, role-based training. Data Act Art. 24.

1 2 3 4 5

19. Are Data Act compliance and certification goals tracked and visible to partners/clients? Readiness dashboard, trust label. Data Act Art. 24.

1 2 3 4 5

20. Are stakeholders (users, partners, authorities) regularly informed and included in governance processes? Stakeholder engagement, feedback loops. Data Act Art. 4, 13.

1 2 3 4 5

Show Result

Restart Assessment

Assessment logic based on the AIGN Data Act AI Governance Framework – www.aign.global

Ready to Scale Your Data Act Governance?

As an AIGN licensee, you unlock exclusive access to the complete AIGN Data Act Framework — including all tools, checklists, templates, and support to take you from self-assessment to audit-ready certification.

We don’t just provide a framework — we help you build real, operational trust.
From your first self-check to public trust label, AIGN is your partner for scaling responsible, certifiable data and AI governance.

👉 Explore the Data Act AI Governance Framework →

Unlock your compliance advantage:

• Full access to the AIGN Data Act Tool Suite
• Step-by-step expert guidance — no consultants needed
• Ongoing updates and premium support, tailored for your sector and team

Don’t leave your Data Act compliance to chance.
Contact us today to discover how the AIGN Data Act Framework — complete with official tools and templates — can help you win trust, contracts, and growth in the new era of regulated data and AI.

Make trusted data your competitive edge — contact us.