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1. Map what personal data you hold, why you use it, and your lawful basis
Start with an inventory that follows data through the system, not just a list of database tables. Include fields, sources, applications, exports, recipients, integrations, replicas, and the purposes for which information is processed. The European Commission explains that personal data must be processed lawfully and transparently, collected for specified purposes, and not reused for incompatible purposes.
Record a purpose and lawful basis for each use
For every processing activity, document its purpose and the lawful basis relied on, along with the information given to the people concerned. A single person’s data may support several activities, and those activities may not share the same purpose or lawful basis. Do not treat a broad label such as “customer data” as a sufficient explanation of why every field is needed.
Use the inventory to trace data from collection through application code, reporting, support tools, vendors, and backups. That gives you a way to identify incompatible secondary uses and to answer questions about where information goes. GDPR obligations depend on your role, purposes, risk, the data involved, and applicable national or sector rules.
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2. Minimise data and keep it accurate
GDPR does not provide a universal list of database fields that every organisation may store. Whether a field is appropriate depends on its purpose and the circumstances of the processing. The practical test is whether you need that particular information for the documented purpose and can explain why.
Review fields, copies, and access
For each field, document its purpose, who can access it, who is responsible for its quality, and when it should be removed. Drop fields that are excessive or no longer useful. Check secondary copies too: personal information copied into application logs, analytics, test data, exports, or support systems still needs a purpose and appropriate controls.
Provide a way to correct inaccurate information and periodically review whether it remains accurate. ICO guidance calls for reasonable steps to correct inaccurate personal data. Avoid retaining stale values simply because they are present in a record or convenient for a report.
3. Set retention periods by purpose and make deletion work
How long you can keep customer data depends on why you need it and on applicable law; GDPR does not set one retention period for every type of record. The ICO’s UK GDPR guidance says, “You must not keep personal data for longer than you need it.” It also says organisations should justify, review, and document retention periods.
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Create a schedule and apply it across the data lifecycle
Set a retention rule by record type and purpose, and specify what happens when the period ends: delete the data or, where appropriate, anonymise it. Make the rule specific enough to implement and assign an owner to review it. If another legal or sector requirement affects a period, document how it applies to that record type.
Deletion must cover more than the primary table. Identify relevant derived tables, replicas, exports, and logs, and decide how the schedule applies to each. Automate deletion or anonymisation where feasible, then test the workflow—including what happens after a restore from backup—so deleted data is not unexpectedly reintroduced. Document how backup retention and restoration interact with the schedule.
Handle a GDPR deletion request as a workflow
Build a process to find and act on a person’s data across the systems you have mapped. Verify identity appropriately, record the request and its handling, and route it to the people or vendors responsible for affected systems. The database should support the process with searchable identifiers and an auditable record of actions; a delete button for one live table is not a complete deletion workflow.
4. Secure the database according to risk
Security must be proportionate to the risks of the processing and include organisational as well as technical measures. GDPR Article 32 gives examples including pseudonymisation and encryption, ongoing confidentiality, integrity, availability and resilience, timely restoration, and regular testing. These are risk-based measures, not a claim that every system must use an identical configuration.
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- Grant staff and services only the access they need, and review permissions as responsibilities change.
- Protect administrator accounts with strong authentication and separate duties where appropriate.
- Monitor access and important changes so you can investigate unexpected activity.
- Use secure development practices and assess whether pseudonymisation or encryption is suitable for the data and risks.
- Protect backups, document security decisions, and test restoration and resilience procedures.
Encryption is valuable when it fits the risk, but it does not resolve questions such as whether you should collect a field, how long to retain it, who may access it, or how to respond to a rights request. Nor does hosting data in the EU by itself establish compliance.
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5. Operationalise rights, vendors, incidents, and DPIAs
Compliance depends on repeatable operations, not just schema design. Build processes that cover requests, processor relationships, security incidents, and high-risk processing, and keep records showing how decisions are made.
Make rights requests searchable and traceable
Design systems and procedures to support access, rectification, erasure, objection, and portability requests. Use appropriate identity checks, search across the data flows you have mapped, record decisions and actions, and coordinate with teams responsible for replicas, logs, and processors. The precise response and any applicable limits depend on the request and the circumstances.
Put processor responsibilities in contracts
Where a service provider processes personal data for you, document the controller-processor instructions and assistance duties in the contract. Keep track of relevant vendors and subprocessors, what data they handle, and how their role fits the processing. Assess deployment geography and transfer implications as part of that governance; a provider’s location alone is not a compliance guarantee.
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Prepare for breaches and assess high-risk processing
Maintain an incident runbook that explains how to identify, assess, document, and escalate a suspected personal-data breach. Under GDPR Article 33, where a breach is likely to risk individuals, the controller must notify the supervisory authority without undue delay and, where feasible, no later than 72 hours after becoming aware of it. Document every breach. The 72-hour rule is a supervisory-authority notification deadline for qualifying breaches, not a blanket deadline for every security event.
Before high-risk processing, assess whether a data protection impact assessment (DPIA) is required under Article 35. When it is, document the assessment and track the measures intended to address the identified risks.
Compare implementation approaches using evidence you can audit
When selecting or reviewing a database design or tool, use these questions to test whether it supports the processes above:
| Area | What to check |
|---|---|
| Data minimisation | Can you control which fields are collected and who can access them? |
| Rights requests | Can you locate and act on relevant data across live systems, replicas, and backups? |
| Retention | Can you automate or reliably carry out deletion or anonymisation by record type and purpose? |
| Security | How are encryption, key management, access logging, and separation of duties handled? |
| Recovery and deletion | Can you test restoration without undermining deletion workflows? |
| Vendors and transfers | Can you identify processors and subprocessors, their responsibilities, and relevant deployment or transfer implications? |
| Evidence and operations | Can you produce records of decisions, access, requests, tests, and incident handling? |
| Operating cost | What ongoing staffing, implementation, monitoring, and maintenance effort is needed to operate the controls? |
Adaptable database compliance checklist
- For each personal-data field and processing activity: record the purpose, lawful basis, transparency information, access rules, quality owner, and retention decision.
- Map data flows, copies, recipients, vendors, replicas, logs, and backups.
- Set and document purpose-linked retention rules; test deletion, anonymisation, and restoration workflows.
- Apply and review risk-appropriate access, authentication, monitoring, backup protection, and security measures.
- Test processes for rights requests, processor assistance, breach escalation, and DPIA assessment where processing may be high-risk.
GDPR Article 5(2) makes the controller responsible for, and accountable for demonstrating, compliance. Treat the checklist as a living governance record: update it when purposes, fields, systems, vendors, or risks change.
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