ISO 8000-8:2015 pdf download.Data quality一Part 8:Information and data quality: Concepts and measuring
1 Scope
This part of Iso 8000 describes fundamental concepts of information and data quality, and how these Concepts apply to quality management processes and quality management systems.
It also specifies prerequisites for measuring information and data quality when executed within quality management processes and quality management systems.
2 Normative references
The following documents, in whole or in part, are normatively referenced in this document and are indispensable for its application. For dated references, only the edition cited applies. For undated references, the latest edition of the referenced document (including any amendments) applies.
ISO 8000-2, Data quality — Part 2: Vocabulary
3 Terms and definitions
For the purposes of this document, the terms and definitions given in ISO 8000-2 and the following apply.
3.1 data
reinterpretable representation of information in a formalized manner suitable for communication, interpretation, or processing
[SOURCE: ISO/IEC 2382:2015, 2121272, modified — Notes to entry have been removed.]
3.2 entity
concrete or abstract thing in the domain under consideration
[SOURCE: ISO 19439:2006, 3.29, modified — The word “any” has been removed at the start of the definition.]
3.3 information
knowledge concerning objects, such as facts, events, things, processes, or ideas, including concepts, that within a certain context has a particular meaning
[SOURCE: ISO/IEC 2382:2015, 2121271, modified — Field of application and notes to entry have been removed.]
4 Fundamental concepts
An information system is a designed system that collects, stores, processes, and distributes information about the state of a domain. The information is represented and formalized in the system as data, and presented through user interfaces.
NOTE 1 For an explanation of states of domains, see Reference [13].
The main purpose of this part of ISO 8000 is to provide a foundation for measuring information and data quality. Information and data quality is defined and measured according to the following categories:
- syntactic quality, which is the degree to which data conforms to its specified syntax, i.e. requirements stated by the metadata; - semantic quality, which is the degree to which data corresponds to what it represents;
- pragmatic quality, which is the degree to which data is found suitable and worthwhile for a particular purpose.
Measuring syntactic and semantic quality is performed through a verification process, while measuring pragmatic quality is performed through a validation process.
When measuring a physical object, the measurements can be described as the dimensions length,width and height. If the object is a cylinder, radius is a candidate characteristic. Establishing a useful set of characteristics pertinent to the case at hand is important in order to cater for communication of the measurements. This part of ISO 8000 offers a set of dimensions for quantifying the quality of information and data.
An activity model supporting information and data quality measurement is provided in Annex D.
See ISO/TS 8000-1 for the overall description and architecture of ISO 8000.
NOTE 2 The planned ISO/TS 8000-32) is intended to further explain the architecture of ISO 8000.ISO 8000-8 pdf download.