ISO/TS 8000-120:2009(E)

Introduction

The consequences of data quality are significant to businesses, governments and society in general.

Data of poor quality causes customer dissatisfaction, lost revenue and higher costs associated with additional time to reconcile data. Data of poor quality can lead to a loss of credibility in a system and higher risks of non compliance with regulations. Data of poor quality increases consumer costs, increases taxes, decreases shareholder value and can cause mission failure.

Data quality is dependent both on the quality of the data capture process and the processes used to store, maintain, transfer and present data.

ISO 8000 addresses data quality. ISO 8000 is concerned with:

NOTE Data quality is achieved through the design of quality into the processes that create, maintain, deliver and present data to people in ways that support decision making.

ISO 8000-110 specifies requirements that can be checked by computer for the exchange, between organizations and systems, of master data that consists of characteristic data. It provides requirements for data quality, independent of syntax. This part of ISO 8000 specifies requirements for capture and exchange of data provenance information and supplements the requirements of ISO 8000-110. This part of ISO 8000 includes a conceptual data model for data provenance.

Data provenance information can be used to detect data echoes; and determine the credibility, currency or value of data. Data provenance information provides a necessary capability to support claims of data accuracy. (See ISO/TS 8000-130 for requirements regarding claims of data accuracy.)

Any claim of conformance to this part of ISO 8000 implies a claim of conformance to ISO 8000-110.

This part of ISO 8000 can be used with any other standard that specifies a formal syntax for a data set.

For more information about data provenance, see [7].


© ISO 2009 — All rights reserved