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Data Audit

What is Data Audit?

A comprehensive review of an organization's data processing activities to assess compliance with data protection laws and identify privacy risks.

Privacy and Data Protection

Frameworks that govern data audit

GDPRView framework →ISO 27001:2022View framework →

What the standards actually require on data audit

Requirements naming data audit across 3 standards, quoted from the control text.

GAMP 5 - Good Automated Manufacturing Practice1 control

GAMP 5 DATA INTEGRITY + 21 CFR PART 11 + EU ANNEX 11 alignment. ALCOA+ PRINCIPLES (FDA + EMA + MHRA Data Integrity Guidance): ATTRIBUTABLE + LEGIBLE + CONTEMPORANEOUS + ORIGINAL + ACCURATE + COMPLETE + CONSISTENT + ENDURING + AVAILABLE.

GAMP5-DataIntegrity-Part11-Annex11 · Data Integrity (ALCOA+), 21 CFR Part 11 + EU Annex 11 + Electronic Records →
Israel Protection of Privacy Law (5741-1981)1 control

Regulation 15 governs use of an outsourced data holder. The owner must select a processor with adequate security, sign a written contract specifying purposes, types of data, security obligations, subject rights handling, return or destruction of data, audit ri...

PPL-DSR-PROC · Processor (Outsourcing) Controls →
Japan AI Guidelines1 control

Fairness (Kouseisei 公正性) is the third of 10 Principles per Japan AI Guidelines for Business + builds on Social Principles of Human-Centric AI 2019 + Cabinet Office Council for Science Technology and Innovation guidance.

JP-AIG-Fairness-Bias-Detection-Mitigation-Inclusive-AI-Discrimination-Prevention-10-Principles-2019-Heritage · Japan AI Guidelines Fairness + Bias Detection + Mitigation + Inclusive AI + Discrimination Prevention + 10 Principles 2019 Heritage + Protected Attributes + Disparate Impact + Statistical Parity + Counterfactual Fairness →

Questions people ask about data audit

What is Data Audit?
A comprehensive review of an organization's data processing activities to assess compliance with data protection laws and identify privacy risks.
Why is Data Audit important for compliance?
Data Audit is a key concept in Privacy and Data Protection. Understanding data audit helps organizations meet regulatory requirements, reduce risk, and demonstrate due diligence during audits. Our compliance platform maps 686 frameworks with 311K cross-framework control mappings.
Which compliance frameworks address Data Audit?
Data Audit appears in the requirement text of GAMP 5 - Good Automated Manufacturing Practice, Israel Protection of Privacy Law (5741-1981), Japan AI Guidelines. Across these standards we have identified 3 controls that name it directly, each linked to the control text on the compliance platform.
Where can I learn more about Data Audit?
Explore our compliance framework pages to see how data audit applies across different standards and regulations. Our implementation guides provide step-by-step guidance, and the compliance platform offers AI-powered analysis of how this concept maps across 686 frameworks.

See how Data Audit applies across compliance frameworks

Our platform maps 686 frameworks with 311K cross-framework control mappings. Explore how this concept is addressed across standards.

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Written and maintained by Gerard Blokdyk, The Art of Service.