What Is ISO 55106:2018

The International Organization for Standardization (ISO) is responsible for developing and publishing standards that ensure quality, safety, and efficiency in various industries and fields. One of the latest standards introduced by ISO is ISO 55106:2018. In this article, we will delve into the details of this standard and discuss its significance.

Understanding ISO 55106:2018

ISO 55106:2018 is a technical standard that focuses on data quality management in statistical organizations. Statistical data plays a crucial role in decision-making processes for governments, businesses, and organizations across the globe. Therefore, ensuring data quality is paramount to maintain credibility and reliability. This standard provides guidelines and best practices for statistical organizations to manage, evaluate, and improve the quality of their data.

The Key Components of ISO 55106:2018

This ISO standard comprises several key components aimed at achieving efficient data quality management. Firstly, it emphasizes the importance of establishing clear objectives and policies regarding data quality. Statistical organizations must define quality goals and ensure their data aligns with these objectives.

Secondly, ISO 55106:2018 underlines the significance of data documentation and metadata. Documenting data collection methods, processing procedures, and data sources not only enhances transparency but also aids in evaluating and monitoring data quality.

Thirdly, the standard addresses the need for a systematic approach to data validation and verification. Statistical organizations are encouraged to employ various techniques such as consistency checks and cross-validation to detect and rectify errors or anomalies within their datasets.

The Benefits of Implementing ISO 55106:2018

Implementing ISO 55106:2018 offers several advantages to statistical organizations. Firstly, it enables them to enhance the overall quality and reliability of their data, thereby building trust among stakeholders and users.

Secondly, by implementing the standard's guidelines and best practices, organizations can improve the efficiency of their data management processes. This involves streamlining data collection, processing, and analysis procedures, leading to enhanced productivity and reduced costs.

Lastly, ISO 55106:2018 promotes international consistency in data quality management. By aligning with this standard, statistical organizations can ensure compatibility and comparability of their data with other organizations worldwide, facilitating international collaborations and benchmarking exercises.

In conclusion, ISO 55106:2018 plays a significant role in strengthening data quality management practices in statistical organizations. By adhering to its guidelines and implementing best practices, these organizations can ensure the credibility, reliability, and utility of their data in today's data-driven world.