__full__ — Iso 38505 Pdf
ISO/IEC 38505 is a high-level, principles-based standard designed to guide governing bodies on the effective, efficient, and acceptable use of data within their organizations. It defines data governance as a subset of IT governance, which in turn is a domain of overall corporate governance. Understanding the ISO 38505 Series
The standard is split into two primary parts that work together to bridge the gap between high-level oversight and day-to-day management:
ISO/IEC 38505-1:2017: Applies the principles of ISO/IEC 38500 to data, focusing on six core principles: Responsibility, Strategy, Acquisition, Performance, Conformance, and Human Behavior.
ISO/IEC TR 38505-2:2018: Provides a "Technical Report" on the implications of Part 1 for data management, offering a checklist of considerations to help translate governance strategy into practical policies. Core Governance Pillars iso 38505 pdf
The framework evaluates data across three specific dimensions to ensure it remains a strategic asset rather than a liability:
Value: Focusing on data quality, timeliness, and context to ensure it is fit for purpose.
Risks: Implementing classification schemes and security protocols to mitigate data-related threats. ISO/IEC 38505-1: Focuses on the application of ISO
Constraints: Ensuring all data use aligns with legal, regulatory (like GDPR), and societal requirements. The Data Accountability Map
A key technical contribution of ISO 38505 is the Data Accountability Map, which tracks accountability across the entire data lifecycle:
Part 1: Application of ISO/IEC 38500 to the governance of data Comparison with DMBOK
The Two Parts of the Standard
When you look for an ISO 38505 PDF, you will often find it split into two distinct parts:
- ISO/IEC 38505-1: Focuses on the application of ISO 38500 (IT Governance) to data management. It defines the principles of data governance—Responsibility, Strategy, Acquisition, Performance, Conformance, and Human Behaviour.
- ISO/IEC 38505-2: Focuses on the implications of ISO 38505-1 for the management of data. It helps bridge the gap between the high-level governance directives and the actual operational management of data.
1. Data is now a balance sheet asset
With the rise of data-led business models (AI, machine learning, analytics), regulators and shareholders expect formal governance. ISO 38505 provides the “language of assurance” that a board of directors understands.
3. Legal free alternative – structured summary from ISO’s preview
ISO’s public scope for ISO/IEC 38505-1 outlines:
- Key principles from ISO 38500 applied to data.
- Accountability, strategy, acquisition, performance, conformance, human behavior for data.
- A data governance matrix (collect, store, report, decide, distribute, etc.).
- No specific technical controls – it’s a governance framework, not implementation.
If you write a research or implementation report on ISO 38505 yourself, you can include:
- Comparison with DMBOK, COBIT, and FAIR data principles.
- Application in GDPR, AI governance, and data ethics.
- Gap analysis for an organization.
