Software engineering. Software product quality requirements and evaluation (SQuaRE). Data quality model

Scope

Managing and enhancing the quality of data is important because of:
⎯ the acquisition of data from organizations of which the quality of data production process is unknown or weak;
⎯ the existence of defective data contributing to unsatisfactory information, unusable results and dissatisfied customers;
⎯ the dispersion of such data among various owners and users. Data captured in accordance with the workflow needs of a single organization often lack a coherent and integrated vision which is necessary to ensure interoperability and co-operation;
⎯ the need for processing data which are not immediately re-usable because of semantic ambiguity or lack of consistency between such data and other existing co-related data;
⎯ the co-existence of legacy architecture and computer systems with distributed systems designed and realized at different times and with different standards;
⎯ the existence of information systems (such as the world wide web) where data change frequently and integration is a special issue.

The data quality model defined in this International Standard aims to meet these needs, taking into account that the data life cycle is often longer than the software life cycle; it could be used, for example, to:
⎯ define and evaluate data quality requirements in data production, acquisition and integration processes;
⎯ identify data quality assurance criteria, also useful for re-engineering, assessment and improvement of data;
⎯ evaluate the compliance of data with legislation and/or requirements. © BSI 2022 All rights reserved

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