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Iso Iec 25024 25.pdf

What is ISO/IEC 25024 and why is it important for data quality?

Data quality is a crucial aspect of any system that relies on data to perform its functions. Data quality refers to the degree to which data meets the requirements and expectations of its users, such as accuracy, completeness, consistency, credibility, currentness, accessibility, compliance, confidentiality, efficiency, precision, traceability, and understandability. Poor data quality can lead to errors, inefficiencies, losses, risks, and dissatisfaction for the data users and stakeholders.

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To ensure and improve data quality, it is necessary to have a systematic and objective way of measuring it. This is where ISO/IEC 25024 comes in. ISO/IEC 25024 is an international standard that defines data quality measures for quantitatively measuring the data quality in terms of characteristics defined in ISO/IEC 25012. ISO/IEC 25012 is another international standard that provides a data quality model consisting of 15 characteristics grouped into six categories: inherent, system-dependent, context-dependent, user-dependent, process-dependent, and cost-dependent.

ISO/IEC 25024 contains the following elements:

  • A basic set of data quality measures for each characteristic;

  • A basic set of target entities to which the quality measures are applied during the data-life-cycle;

  • An explanation of how to apply data quality measures;

  • A guidance for organizations defining their own measures for data quality requirements and evaluation.

The standard also provides informative annexes that contain a synoptic table of quality measure elements defined in the standard, a table of quality measures associated to each quality measure element and target entity, considerations about specific quality measure elements, a list of quality measures in alphabetic order, and a table of quality measures grouped by characteristics and target entities.

ISO/IEC 25024 can be applied to any kind of data retained in a structured format within a computer system used for any kinds of applications. The primary beneficiaries of the quality measures are people managing data and services including data, such as acquirers, evaluators, developers, maintainers, suppliers, users, quality managers, and owners.

The standard does not define ranges of values of these quality measures to rate levels or grades because these values are defined for each system by its nature depending on the system context and users' needs. The standard also does not prescribe any specific methods or tools for collecting or calculating the quality measures. The standard is intended to be used by people who need to produce and/or use data quality measures while pursuing their responsibilities.

ISO/IEC 25024 is part of the ISO/IEC 25000 series of standards on systems and software engineering - Systems and software Quality Requirements and Evaluation (SQuaRE). The SQuaRE series provides a common framework for defining, specifying, measuring, evaluating, and improving the quality of systems and software products. The SQuaRE series consists of five divisions: ISO/IEC 2500n (quality management), ISO/IEC 2501n (quality model), ISO/IEC 2502n (quality measurement), ISO/IEC 2503n (quality requirements), and ISO/IEC 2504n (quality evaluation).

ISO/IEC 25024 is an important standard for data quality because it provides a common language and a common reference for defining and measuring data quality across different domains and applications. It helps organizations to establish data quality requirements and evaluation criteria based on their specific needs and contexts. It also helps organizations to monitor and improve their data quality performance by using objective and quantitative indicators. By applying ISO/IEC 25024, organizations can enhance their data quality management capabilities and increase their confidence and trust in their data assets.

If you want to learn more about ISO/IEC 25024 and how it can help you with your data quality challenges, you can visit the official website of [ISO] or [IEC] or download the full publication from [here].


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