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Data Portability

🔄Data Portability

NEW

Also known as: Data Portability Right

A data subject’s right and the capability to obtain and transfer their data in a structured, commonly used, machine-readable format.

DESCRIPTION

Data portability promotes user control and competition by enabling movement of personal data between controllers and services. Under GDPR Article 20, subjects can receive their provided data and transmit it to another controller. Implementations require standardized formats, secure transfer, and identity verification. Organizations must design export features and APIs that respect scope and security.

ALTERNATIVE DEFINITIONS

General Data Protection Regulation (EU)

The data subject shall have the right to receive the personal data concerning him or her, which he or she has provided to a controller, in a structured, commonly used and machine-readable format and have the right to transmit those data to another controller.

Authoritative legal articulation of the GDPR right of data portability.

Source

UK Information Commissioner’s Office

The right to data portability allows individuals to obtain and reuse their personal data for their own purposes across different services.

Plain-language explanation focusing on practical reuse across services.

Source

Right of Access Interoperability GDPR Data Subject Rights Data Export Machine-Readable Format Data Sharing

COMPETING TERMS

Vendor Lock-in

KNOWLEDGE AREAS

Data Privacy & Compliance Data Governance AI Governance

TARGET AUDIENCE

Data Governance Manager Chief Data Officer Chief Information Officer Data Steward Data Management Consultant

EXTERNAL SOURCES

TOP QUESTIONS

What data falls under Data Portability in GDPR?

Data a subject has provided to a controller, including data actively supplied and observed, where processing is based on consent or contract and carried out by automated means.

Category: Scope

Why is Data Portability important for users?

It empowers users to switch providers, combine services, and control their information. It reduces lock-in and fosters competition and innovation.

Category: Relevancy

How should organizations implement Data Portability?

Provide exports in structured, commonly used, machine-readable formats with secure download or direct transfer, after verifying identity.

Category: Implementation

What are common mistakes with Data Portability?

Over-including third-party or derived data, weak identity checks, and non-standard formats that hinder reuse are frequent errors.

Category: Mistakes

Does Data Portability apply to derived or inferred data?

Generally no. It primarily covers data provided by the data subject and observed data, not controllers’ derived analytics.

Category: Scope

What formats are suitable for Data Portability exports?

JSON, CSV, XML, and other open, machine-readable formats that preserve semantics and are commonly used.

Category: Standards

How does Data Portability relate to interoperability?

Portability enables transfer; interoperability ensures receiving systems can meaningfully ingest. Both are necessary for practical switching.

Category: Concept

What risks arise when implementing Data Portability?

Unauthorized access if identity verification is weak, data leakage during transfer, and format misinterpretation are key risks.

Category: Risks

Is Data Portability required outside the EU?

Similar rights exist in UK GDPR and some other jurisdictions. Requirements vary by law; check local regulations.

Category: Compliance