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Data Inventory

📦Data Inventory

NEW

A comprehensive record of datasets, systems, owners, and data flows across an organization.

DESCRIPTION

A data inventory catalogs datasets, systems, owners, and interfaces to provide visibility and control. It enables compliance (e.g., GDPR), supports DPIAs, and simplifies access requests and risk assessments. Inventories often include business purpose, sensitivity, retention, and lineage for each item. They underpin governance, cataloging, and incident response by identifying where data lives and how it moves. Effective inventories are maintained continuously and integrated with catalogs and CMDBs.

ALTERNATIVE DEFINITIONS

Project Open Data

A data inventory is a comprehensive listing of an agency’s data assets, including datasets that can be made available to the public.

Focuses on public-sector inventories and open data publication readiness.

Source

NIST

Organizations should maintain a data inventory and mapping to understand processing and systems, enabling risk management and privacy controls.

Emphasizes the role of inventories in privacy risk management.

Source

UK ICO

Data mapping involves finding out what personal data you have, where it is, and how it flows through your organisation.

Links inventory and mapping to GDPR accountability obligations.

Source

Data Map Asset Inventory Metadata Lineage System Registry Data Protection Impact Assessment Data Exploration Privacy Program

COMPETING TERMS

Records of Processing Activities Data Discovery Platform

KNOWLEDGE AREAS

Metadata Management Data Governance Data Privacy & Compliance Data Management

TARGET AUDIENCE

Data Steward Data Privacy Officer IT Auditor Chief Data Officer Data Governance Manager IT Manager

EXTERNAL SOURCES

TOP QUESTIONS

What is a Data Inventory?

It’s a comprehensive list of datasets, systems, owners, and data flows, enabling visibility, compliance, and governance.

Category: Definition

Why maintain a Data Inventory?

It supports GDPR accountability, risk assessments, incident response, and data access management.

Category: Relevancy

What should a Data Inventory capture?

Business purpose, sensitivity, retention, owners, lineage, systems, interfaces, and legal basis where applicable.

Category: Requirements

How is a Data Inventory updated?

Automate discovery, integrate with catalogs and CMDBs, and assign stewardship for ongoing maintenance.

Category: Management

What mistakes are common in Data Inventories?

Stale entries, missing lineage, inconsistent classifications, and ignoring shadow IT sources.

Category: Mistakes

What are risks of an incomplete Data Inventory?

Compliance failures, data breaches going undetected, and poor incident response readiness.

Category: Risks

What competes with Data Inventories?

Records of Processing Activities and catalogs overlap; combining them improves coverage.

Category: Alternatives

How to start a Data Inventory?

Identify key systems, run automated scans, standardize attributes, and validate with owners.

Category: HowTo

How does a Data Inventory support DPIAs?

It reveals data types, flows, and systems, enabling impact assessments and control selection.

Category: Example