Establish policies, assign accountabilities, and set the strategic direction for data utilization. This ensures that data initiatives align with organizational values and risk tolerances.
When you search for an "iso 38505 pdf," you are likely looking for one of three key documents. The ISO 38505 series is structured into distinct parts, each serving a unique purpose:
: The standard is applicable to all organizations—public, private, or non-profit—regardless of size. Lifecycle Focus
As data grows in volume and complexity, proper governance is not optional—it is a competitive necessity. ISO/IEC 38505 provides the necessary framework for turning data into a safe, valuable corporate asset. By implementing these standards, organizations can ensure that their data usage is effective, efficient, and acceptable. iso 38505 pdf
It introduces the , which examines data across six key lifecycle domains: Collect, Store, Report, Decide, Distribute, and Dispose . For each domain, the standard provides a checklist of considerations based on Value, Risk, and Constraints , helping leadership evaluate the impact of their data decisions. This is the essential starting point for anyone looking to build a formal data governance program.
Establish a Data Governance Council. Clearly define the roles of Data Owners (executives accountable for data assets), Data Stewards (managers running day-to-day data quality), and Data Custodians (IT staff managing technical storage). Step 4: Develop the Data Governance Policy
However, if you need a of ISO 38505 (particularly ISO/IEC 38505-1:2017 – Governance of data), here’s what you can do: The ISO 38505 series is structured into distinct
: Appoint executive sponsors and operational data stewards.
It applies to all organizations—public, private, or non-profit—regardless of size or their current level of data dependency [8, 17].
The governing body must apply the six principles above by executing three primary responsibilities: By implementing these standards
: Assess your current data governance practices against the standard.
Oversee data performance and compliance through regular audits, metrics, and reporting lines to ensure guidelines are followed. Understanding the Data Lifecycle Framework