ISO 55059:2017 is a technical standard developed by the International Organization for Standardization (ISO) that provides guidelines and requirements for establishing and maintaining effective data management programs within an organization. This standard aims to ensure that organizations are able to manage their data in a structured and systematic way, in order to support decision-making, meet regulatory requirements, and improve overall data quality and integrity.
Key Components of ISO 55059:2017
The ISO 55059:2017 standard consists of several key components that organizations need to consider when implementing their data management programs:
Data Governance: This component focuses on defining the roles, responsibilities, and processes related to data governance within the organization. It includes establishing data policies, procedures, and standards, as well as ensuring compliance with regulatory requirements.
Data Architecture: This component involves designing a data architecture that supports the organization's data needs and goals. It includes identifying the types of data needed, defining data structures and relationships, and establishing data integration and interoperability mechanisms.
Data Quality Management: This component focuses on ensuring that data is accurate, complete, consistent, and valid. It involves defining data quality metrics, implementing data validation and verification processes, and establishing data correction and cleansing procedures.
Data Security and Privacy: This component addresses the protection of data against unauthorized access, use, disclosure, alteration, or destruction. It includes implementing security measures, such as access controls and encryption, as well as ensuring compliance with data privacy regulations.
Data Integration and Interoperability: This component involves integrating data from various sources and ensuring compatibility and interoperability between different systems. It includes defining data integration workflows, establishing data exchange standards, and implementing data governance mechanisms for shared data.
Data Lifecycle Management: This component focuses on managing data throughout its lifecycle, from creation to disposal. It includes defining data retention and archiving policies, establishing data backup and recovery mechanisms, and ensuring proper data disposal in compliance with legal requirements.
Benefits of Implementing ISO 55059:2017
Implementing ISO 55059:2017 can provide several benefits to organizations:
Improved data quality and integrity: By implementing the standard's guidelines and requirements, organizations can ensure that their data is accurate, complete, consistent, and valid.
Enhanced decision-making: Having a structured and systematic data management program enables organizations to make informed decisions based on reliable and up-to-date data.
Compliance with regulatory requirements: The standard helps organizations meet the data management requirements specified by regulatory bodies, reducing the risk of non-compliance penalties and reputational damage.
Increased efficiency and productivity: Effective data management leads to improved operational efficiency and productivity, as employees can easily access and use the data they need.
Better data security and privacy: Implementing the standard's recommendations helps organizations protect their data against unauthorized access, use, disclosure, and alteration, ensuring compliance with data protection regulations.
Facilitates data integration and interoperability: ISO 55059:2017 provides guidelines for integrating data from different sources and ensuring compatibility and interoperability between systems, enabling seamless data exchange and collaboration.
Overall, ISO 55059:2017 provides organizations with a comprehensive framework for implementing effective data management programs, which can have a positive impact on their operations, decision-making, and compliance efforts. By adhering to the standard's guidelines and requirements, organizations can leverage the benefits of robust data management and ensure the integrity, quality, and security of their data.
Nina She